针对单时刻雷达网距离多假目标鉴别可靠性低的问题,提出了一种基于空时特性的雷达网距离多假目标鉴别方法。首先,通过雷达网目标量测预处理,将各组网雷达目标量测转换至地心直角坐标系,以实现目标量测的坐标系统一;然后,基于真-假目标量测的空间分布特性构建检验统计量,通过单时刻的关联检验实现真假目标的初步鉴别;最后,对多个时刻检验进行积累,以增强目标量测判别的可靠性。仿真结果表明,利用多个时刻检验积累与单时刻检验相比能够提高距离多假目标鉴别的可靠性。
Aiming at the low reliability for single moment discrimination of multi-range-false-target, a method based on dimensions of space and time characteristics is proposed to discriminate the multi-range- false-targets. Firstly, measurements from radar network are transformed to the earth-centered earth-fixed coordinate system by preprocessing in order to unify the coordinate system. Then, test statistics are built up based on space distribution characteristics of the true-false targets for preliminary discrimination of the true- false targets by single moment association test. Finally, the tests of multiple moments are accumulated for improving the reliability of discrimination. The simulation results verify that: Compared with the single moment test, the accumulation of multi-moment tests is able to improve the reliability of multi-range-false- target discrimination.