双基地的被动TMA及其性能研究

本文研究了双基地联合的目标运动分析（TMA）问题。在双基地条件下，以被动声纳较容易得到的目标方位，频率数据测量为依据。用数据融合方法对目标运动参数进行估计。并讨论了它的Cramer-Rao界，然后用具体实例对伪线性，扩展Kalman滤波方法的处理过程以及Cramer-Rao界进行了计算机仿真，其结果表明，数据融合的被动TMA方法能使定位误差椭圆明显缩小，估计精度得到很大改善。实现了对目标运动参数的有效估计。上述方法能推广到多基地的情形。

PASSIVE TARGET MOTION ANALYSIS AND ITS PERFORMANCE BASED ON TWO ARRAYS

Problems in passive target motion anslysis based upon two arrays are discussed. In the condition of two arrays, bearings and frequency of the target obtained by each sensor on two arrays are used as inputs. Target motion parameter estimation is directly presented in the fusion center, an example being given in PLE and EKF, for which the Cramer Rao lower bound is discussed. The results of simulation experiments show that approaches proposed here can improve the performance of motion parameter estimation and reduce its localization error ellipse significantly. It can be prompted to multiple arrays.