The algorithms of blocking matrix preprocessing (BMP) and eigen-projection matrix preprocessing (EMP) to suppress mainlobe interference will lead to the main peak offset. Aiming at dealing with the problem, the conventional methods, such as diagonal loading, diagonal loading combined with linear constraint, whitened, and weight coefficient compensation are used. Guided by the eigen-projection and L2 norm constraint, this paper presents a novel method based on blocking matrix preprocessing and L2 norm constraint. The improved BMP algorithm not only can overcome the deviation of the peak value, but also can achieve excellent performance at low snapshots in comparison with traditional methods. Besides, the accurate direction of sidelobe interference is not required, so the improved method is easy to implement in engineering. The biggest advantage is that the proposed method can maintain the high output signal to interference-plus-noise ratio (SINR) in the case of strong mainlobe jamming. Theoretical analysis and simulations demonstrate that the proposed method has the optimal performance for mainlobe jamming suppression.
Regarding the main-lobe jamming suppression algorithm of phased array radar, the paper analyzes various anti-jamming algorithms based on blocking matrix pre-processing (BMP) according to the study of current anti-main lobe jamming technique in the space-time domain, including the weighting coefficient compensation, whitening, diagonal loading and linear constraint combined with diagonal loading beam retention algorithms. Inspired by the covariance matrix reconstruction (CMR) algorithm of eigen-projection matrix preprocessing, the paper combines modified CMR and BMP algorithm to suppress main lobe jamming. The modified CMR can not only be used when the dimension is lost caused by BMP, but also solve the distortion problems such as the main lobe peak offset in the adaptive beam forming synthesis. The biggest advantage of BMP combined with modified CMR algorithm is that its anti-jamming performance is excellent and stable when the sampling snapshot contains the target signal. Meanwhile, the algorithm complexity and the snapshot sensitivity are both in a low level. In the end, the verification results of the measured data also show the superiority of the proposed algorithm when the sampling snapshot contains the target signal.
Interrupted sampling repeater jamming (ISRJ), which is generated by digital radio frequency memory (DRFM), has become a hot topic about electronic counter measures (ECM). The paper has proposed an ISRJ suppression algorithm based on numerical statistical characteristic analysis and clustering. First, preprocess the echo data to improve signalnoise ratio according to the numerical statistical characteristic analysis. Next, apply the algorithm of clustering to the echo so as to identify ISRJ and obtain the parameters of ISRJ. Then, reconstruct the jamming based on the ISRJ information from previous step. Finally, use the reconstructed jamming to suppress ISRJ. The simulation result shows that the proposed method can identify ISRJ successfully when SNR of echo is higher than -10dB.
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