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Basis pursuit of sparse decomposition is adopted to discriminate and identify the target echo with two kinds of mainlobe jamming named time-delay repeater jamming and smeared spectrum (SMSP) jamming, which can produce multiple false targets. The main idea is to extract their pulsed differences. The signal model is first transformed to an underdetermined matrix equation, the dictionary is constructed by the function form of the target echo, and then the matrix equation is solved by replacing the l 0 norm problem via the l 1 norm problem. The identification of time-delay repeater jamming and the target echo is by the difference of the pulse width. Identifying SMSP jamming and the target echo is by the difference of the chirp rate. The proposed algorithm is particularly relevant to the case that the signals are overlapped. Finally, simulation results demonstrate the efficacy of the proposed method and they show that the method outperforms the conventional time–frequency representation method.

Only in the presence of sidelobe jamming (SLJ), can the conventional adaptive monopulse technique null the jamming effectively and maintain the monopulse angle estimation accuracy simultaneously. While mainlobe jamming (MLJ) exists, the mainlobe of adaptive pattern will subject to serious distortion, which results in a failure of detecting and tracking targets by monopulse technique. Therefore, a monopulse angle estimation algorithm based on combining sum-difference beam and auxiliary beam is presented. This algorithm utilizes both high gain difference beams and high gain auxiliary beams for cancelling the mainlobe jammer and multiple sidelobe jammers (SLJs) while keeping an adaptive monopulse ratio. Theoretical analysis and simulation results indicate that the serious invalidation of monopulse technique in MLJ and SLJs scenarios is resolved well, which improves the monopulse angle accuracy greatly. Furthermore, the proposed algorithm is of simple implementation and low computational complexity.

In this paper, to suppress the digital radio frequency memory (DRFM) false target jamming, we introduce a jamming recognition-based method. The method first extracts mixed target and jamming samples, then computes adaptive weights by subsections of mixed samples, finally recognizes the jamming samples according to the adaptive power residue (APR) criterion. Numerical examples are provided which verify the effectiveness of the proposed method.

PD mode is usually adopted in airborne phased array radar. However, there are two problems which severely degrade the performance of adaptive beamforming. One is the ground clutter return in the training data, the other is the target return in the training data. Therefore, in this paper, the two problems above are analyzed in detail, and then the methods suitable for engineering realization are presented. Computer simulation results are presented for illustration.

Blanket deception jamming is characteristic of both noise jamming and deception jamming, which cause some traditional anti-jamming measures invalid such as sidelobe canceling and sidelobe blanking and so on. In this work, an approach of time-space cascade adaptive sidelobe canceling based on jamming sample recognition is presented. Even when the number of jammings is more than that of auxiliary channels, the suppression results is still very good. The computer simulations demonstrate the validity.

In this paper, the performance of mutual coupling compensation in adaptive arrays is studied. It is indicated that the adaptive array after mutual coupling compensation can suppress interference thoroughly. However, the output power of noise changes with the direction of desired signal, which causes the degradation of the output signal-to-interference-plus-noise ratio (SINR). Therefore, the thermal noise is mainly responsible for the output SINR degradation after mutual coupling compensation. This conclusion derived from the paper is expected to be valuable for the engineering application of an adaptive array. The simulation results demonstrate further the conclusions.