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Regarding the suppression of radar mainlobe jamming, a blind extraction method for suppressing mainlobe jamming based on maximizing the signal to interference plus noise ratio (SINR) is proposed. Unlike blind separation, blind extraction can extract interested components from multiple mixed signals, making it more suitable for jamming suppression in complex electromagnetic environments with multiple sources and channels. This method establishes an optimization model for maximizing SINR in the distance domain. The target echo signal is solved and extracted using the particle swarm optimization (PSO) algorithm to achieve mainlobe jamming suppression. Simulation testing shows that the proposed method improves the jamming suppression effect compared to traditional blind separation jamming suppression methods. It does not require estimation of the number of sources and has lower requirements for the number of channels, making it applicable in underdetermined scenarios. Additionally, it reduces computational complexity, making it more suitable for complex electromagnetic environments. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Multi-functional radar is an indispensable and important equipment in modern electromagnetic battlefield. The interference of multi-functional radar is always a difficult problem. In this paper, based on the study of the characteristics of multi-functional radar signal and the radar countermeasure process, the method of joint representation of radar state is proposed, and the interference problem of multi-functional radar is modeled as a Markov decision process with benefits. The cognitive interference decision system is designed. The interference strategy is solved by the cognitive interference decision algorithm based on Q-learning. Through the simulation experiment, it is proved that the cognitive interference decision algorithm based on Q-learning can learn the optimal interference strategy in the absence of prior experience, have the characteristic of "cognition", and have strong adaptability in the unstable environment, which effectively supports the interference decision model mentioned above. [ABSTRACT FROM AUTHOR]

This paper studies distributed target detection for frequency agile radars. When the synthetic bandwidth of frequency agile radars is large, radar targets become distributed targets, and thus the traditional constant false alarm rate detection methods fall. To deal with this problem, we formulaie a distributed target detection model for frequency agile radars, derive the generalized likelihood ratio rest statistic, and show the corresponding false alarm and detection rate by simulations. To improve the anti-jamming ability and the spectrum utiiization efficiency of frequency agile radars, we consider the scenario in which only parts of the frequency pouts are transmitted. Numerical results reveal that under high signal-to-noise ratio, the distributed target detection performance improves as the synthetic bandwidth increases, namely more frequency points are transmitted. [ABSTRACT FROM AUTHOR]

The jamming method of multi-vector synthesis is recognized as one of the best means to combat tracking radar because lt can cause wave-front phase distortion. However, most of the researches analyze the jamming performance of multi-vector from the radar side, so we need to know the radar angle measurement system in advance. From the point of view of the jammer, this paper establishes the jamming scene of multi-vector synthesis, deduces the expression of amplitude and phase of the synthesized signal, and analyses the waveform characteristics of multi-vector synthesis. The parameters such as amplitude gain, phase shift and number of elements are optimized by the NSGA-II algorithm for the purpose of improving the two waveform characteristics of the degree of center distortion and the effective distortion region. The simulation results show that the wave-front phases are not the same for different numbers of elements. By increasing an appropriate number of elements, the degree of center distortion of synthetic waves can be effectively improved, and the jamming performance of the center point of the synthetic wave could be belter, but the influence on the effective distortion region is small. [ABSTRACT FROM AUTHOR]

Low probability of intercept (LPI) radar is a new type of radar with strong anti-jamming ability and low interception characteristics. Accurate and efficient recognition of it has become a difficult problem in waveform recognition of radar confrontation. Aiming at the structural intelligent optimization problem of the mainstream classifier convolution neural network (CNN) in this direction, a waveform recognition algorithm based on particle swarm optimization (PSO)-CNN is proposed. The algorithm uses the optimization characteristics of PSO to automatically build CNN structure with indefinite layers, layer types and layer parameters in a large range, evaluate and iteratively optimize it. The algorithm uses a combination of recognition accuracy and network complexity to measure indicators, the proportion of the two can be adjusted according to requirements to achieve the choice of accuracy and lightness. The CNN structure obtained by the algorithm achieves better LPI radar waveform recognition effect than nine classic CNN structures. And the algorithm avoids the lack of intelligence and objectivity of artificially selecting CNN hyper parameters during radar waveform recognition, and improves the adaptability and efficiency of the selecting CNN structure. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to improve accuracy of vehicle forward collision prevention warning system on road environment perception, a vehicle tracking method of information fusion for millimeter-wave radar and vision sensor was proposed. An algorithm to eliminate radar jamming targets was proposed to reduce processing time of jamming targets. A symmetric detection algorithm was proposed to detect radar target ROI (region of interest) symmetrically and reduce lateral position errors of radar target ROI. In order to improve the tracking accuracy, a KCF-KF combined filtering algorithm was proposed to track and fuse vehicles. Actual vehicle tests show that the method may effectively track vehicle position information, and the tracking accuracy of X and Y coordinates in pixel coordinate system is more than 97.34% and 95.19% respectively. [ABSTRACT FROM AUTHOR]

Aiming at the problem that deception jamming is difficult to distinguish and eliminate, based on the principle of coherent accumulation, a method of radar anti-false target jamming based on phase modulation (PM) is proposed in this paper. Firstly, the radar transmits the phase modulated pulse train signal. Then, according to the prior information of the phase, the radar compensates the phase of the echo signal when it is received. secondly, the echo signal carries out pulse compression and coherent accumulation. After processing, the range-Doppler (R-D) diagram is used to distinguish the real and false target and extract the Doppler frequency of the real target. Finally, according to the adaptive beamforming theory and the Doppler frequency information of the real target, an adaptive Doppler tilter is designed to process the echo pulse train to enhance the real target and form a null at the Doppler frequency of the false target. The problem that the false target is difficult to be eliminated is solved. Simulation results show that the proposed method can effectively distinguish and eliminate false targets in the echo signal. [ABSTRACT FROM AUTHOR]

In view of the problem of radar anti-jamming performance evaluation, a method of radar anti-jamming performance evaluation based on grey correlation fuzzy comprehensive evaluation is proposed. Based on the theory of fuzzy mathematics and correlation function, the set of fuzzy comprehensive evaluation factors of the evaluation index for reference is used firstly. Through scoring by the interval number, the weight of the evaluation index is determined based on the grey correlation method. Then, the fuzzy comprehensive evaluation results are calculated by establishing the evaluation matrix by the membership function, and the anti-jamming capability level of radar is determined according to the membership degree. Finally, the fuzzy value linear order evaluation model is established to determine the order of radar anti-jamming performance. The example shows that the proposed method can not only determine the evaluation level of radar anti-jamming performance, but also further determine the order of radar anti-jamming performance, which is more objective and reliable. [ABSTRACT FROM AUTHOR]

The electronic environment of modern battlefield is becoming more and more complex, and the main-lobe deceptive jammer poses a serious threat to the survival ability of radar. For the traditional array radar can not resist the jammer with the same angle as the target. The waveform diverse array radar, represented by frequency diverse array, has extra degrees-of-freedom (DOFs) in the range domain by modulating the transmitter, which increases the flexibility of system design and signal processing, and provides an effective way to solve the problem of the suppression of mainlobe deceptive jammer. This paper summarizes the anti-jamming methods of waveform diversity array radar beamforming, points out its advantages in anti mainlobe deceptive jammer, and combs the technical difficulties and trends of anti-jamming in waveform diverse array radar. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to master the interference rule of swept frequency radar equipment under continuous wave electromagnetic radiation, to reveal the interference mechanism of single frequency continuous wave electromagnetic radiation to swept frequency radar, the Ku-band swept radar is taken as the test object, and a test platform is established, the full level irradiation method is used to carry out the electromagnetic radiation test of the single frequency continuous wave in band, to determine the electromagnetic interference rule of radar equipment. The results of the single frequency continuous wave electromagnetic radiation test in the band show that the target level of the echo for the radar under test changes with the interference intensity. Under different interference frequencies, the change law of electromagnetic interference effect of radar equipment is basically the same. The 6 dB suppression level is selected as the sensitive criterion to test the radar equipment interference threshold at different frequencies. The test results show that the small electromagnetic radiation in the radar band (interference frequency difference at 0.14 GHz) under test can cause effective interference to radar equipment. [ABSTRACT FROM AUTHOR]

The main-lobe deceptive jamming is located in the same beam width as the target does, which seriously affects the detection and parameter estimation of the real target. To solve this problem, a method to suppress the main-lobe deceptive jamming is proposed based on the frequency diversity array multiple input multiple output (FDA-MIMO) radar. The main breakthrough of the proposal is that when the angles of the jamming and the target are exactly identical, the distance-angle 2D dependence of the antenna pattern of the FDA-MIMO radar is available. Further, the blind source separation (BSS) algorithm based on the maximum signal to noise ratio (MSNR) is applied to separate the deceptive jamming from the target in different channels, so as to achieve the purpose of jamming suppression. This method does not need the prior information of the distance and the angle of the target. The simulation results verify the effectiveness of the proposed algorithm, and when the jamming to noise ratio (JNR) is 80 dB, the correct detection probability of the target is about 0. 98. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Piezoelectrics & Acoustooptics is the property of Piezoelectric & Acoustooptic and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

When the interference enters from the direction of the main-lobe of the radar, adopting the adaptive beamforming algorithm will lead to problems such as beam distortion and migration of the main-lobe. Aiming at the problem of interference entering from the radar main-lobe, this paper proposed an anti-jamming method based on the design of the transmitted waveform. When the signal encoded by Frank is transmitted, it constructed the matched filter and the blocking filter by using the orthogonality of the Frank code, and passed the received data through the two filters to obtain two signals. Then it suppressed the interference by the adaptive cancellation method, thus suppressed the main-lobe interference. Finally, simulation results show that the method of waveform design can effectively suppress interference from main-lobe entry. [ABSTRACT FROM AUTHOR]

A parallel radar signal processor framework based on StarFabric interconnection is proposed, and transfer performance of the StarFabric network analyzed by mathematical modeling. At the same time, digital signal processing(DSP) module and other module were designed. DSP module integrates 8 C64 x DSP and 2 GB memory. Other modules have the same connection interface but with different function circuit. The framework and the modules had been applied in a SAR jamming signal processor. [ABSTRACT FROM AUTHOR]