基于马氏距离的雷达网有源假目标干扰鉴别技术

Technic of Discriminating False-Target Deception Jamming for Radar Network Based on Mahalanobis Distance

摘要:

针对雷达网有源假目标干扰问题,为了消除长基线雷达组网时地球曲率对数据处理的影响,通过坐标转换,将各雷达站的目标的量测数据转化到了地心直角(ECEF)坐标系内,得到统一坐标系下的目标量测信息,完成空间上的对准；在此基础上,基于虚假目标的量测与雷达站位置有关,真实目标量测与雷达站无关,因而依据卡方分布的性质,在 ECEF坐标系内对各个量测进行卡方检验,鉴别出虚假目标；最后,通过仿真验证了分析的正确性,该算法与工程实际接轨,实用性较强。

Abstract:

Aiming at multi-range-false-target deception jamming of long baseline radar network, firstly, in order to re.move the effect of earth curvature produced by long baseline radar networks, the target position data in geography coordi.nate system was transformed to Earth-centred-Earth-fixed (ECEF) coordinate system based on coordinate transformation,simultaneously, target measurements in radar-centred retangular coordinate system were transformed to ECEF too; And inthis basis, due to the fact that false target position was relevent to radar position, but real target position information wasnot, the χ2 test to false target measurements was constructed in ECEF based on characteristics of χ2 distribution. Lastlysimulation results verified the correctness of the analyses, and this arithmetic is close to engineering realistic, it was practi.cable.