关键词: 多站雷达系统, 参数估计, 子站选择, 假目标鉴别

Abstract: For the false target identification method based on joint estimation of parameters, the discrimination of false target probability can be improved by increasing the number of radar stations. However, the excessive increased radar stations will cause a serious waste of equipment resources. For this problem, a gradual shrinkage subset selection strategy on multiple-radar anti-jamming systems is proposed. Aiming to existing radar stations, the rapid shrinkage method and the global shrinkage method are considered to select some transmitting and receiving stations to form the radar subset which guarantee the preset false target discrimination performance. All of the selecting stations have better spatial distribution or stronger discrimination ability in the system. Compared with exhaustive search, the proposed subset selection strategy has a great reduction in computational complexity. Simulation shows that the radar subset can maintain the similar discrimination performance with the original multiple-radar systems. At the same time, it optimizes the number of radar stations, reduces the amount of data processed by the fusion center and the required communication links, which effectively save the operating cost.

Key words: multiple radar architectures, parameter estimation, subset selection strategy, false target discrimination