Technique Against Dense False-target Jamming Based on Power Feature

In the presence of dense multi-range-false-target jamming, it is difficult to identify true and false targets, and the tracking performance is poor. To solve this problem, a tracking technique based on power feature is proposed in this paper. Firstly, signal likelihood ratio preprocessing is applied to measurements to decrease the clutter. Then, the angle chi-square test and data fusion are utilized to make full use of false target information. Finally, a‘decibel’weighting factor is constructed according to the true and false target power feature, so the true target can be double weighted associated with the position information. Thus, the effect of the jamming signal is greatly weakened. Simulation results show that the proposed technique performs well under dense false-target jamming and gets high tracking accuracy.