Multi-range-false-target jamming for radar network based on multiple discriminations

Aiming at the high computational complexity and high confusion, during the discrimination of the multi-range-false-targets, a technique based on multiple discriminations for multi-range-false-target jamming of long baseline radars network is proposed. Firstly, aiming at the target measurements association time increases with the increase of the range-false-target numbers, target measurements from radar network are classified into true-true, true-false, false-true and false-false cases for simplification. Then, to improve the correct recognition rate, multiple nearest neighbor and bearings-only associations method is applied. Finally, theoretical analysis and simulation test are used to compare the proposed method with the nearest neighbor method. The results verify that the proposed method is able to improve the correct recognition rate as well as reduce the time of association discrimination evidently. © 2017, Editorial Office of Systems Engineering and Electronics. All right reserved.