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SAR/GMTI has become a very important application for civilian and military. Moving parameter estimation of the target is a crucial issue in GMTI processing. In this paper a new moving target parameter estimation algorithm based on contrast optimization criterion is proposed. Based on the contrast optimization criterion the peak magnitude of the contrast function corresponds to the best estimation of the target's velocity components. By two-dimensional searching, we can get the along-track and cross-track velocity of the target respectively. The proposed moving target parameter estimation method is analyzed in detail. At the end of the paper, simulation results illustrate that the algorithm can enhance the estimation accuracy obviously.

Support vector machine (SVM) has shown several advantages in prediction, regression, and estimation over some of the classical approaches. The new approach that support vector regression (SVR) applied to the array beamforming is proposed in this paper. Training data and test data on the effects of SVR Beamforming are researched. The new method has been applied in the environment of noise and interference, and is compared with uniform weighted beamforming. It has found that the array beamforming using SVR has the ability of suppression interference. Finally, effectiveness of the new method is verified through computer simulation.

Traditional sonar system can stay at best state only for the marine environment such as underwater acoustic channel, background noise and reverberation characteristics etc. meets ideal condition, if not, it will bring great difficulties to the capability of sonar targets detection. In this paper, the concept of cognition proposed in the literature for radar and wireless communication is applied to sonar to improve its robustness and adaptability. Cognitive sonar is a kind of intelligent sonar which has certain reasoning and learning function based on cognition theory, and it gives a kind of innovation idea to high-performance sonar system in theory. Environmental adaptation is accomplished by measuring marine environmental parameters in real-time and using an environmental feedback loops and thus keep sonar systems performance optimal. The advantages of proposed cognitive sonar will be demonstrated by computer simulations.

The cross-track baseline in InSAR system is very sensitive to terrain fluctuation which is widely used to retrieve the DEM. The cross-track baseline influences the coherence of the radar echoes seriously. In this paper, we analyzed the decorrelation caused by cross-track baseline and the channel mismatch respectively. And a decorrelation reduction method by means of compensating the decorrelation caused by the spatial baseline is given. Finally, simulation results verified the validity.