远距离被动定位系统LRPLS ？
该无源被动定位系统采用了加权最小二乘法来估计目标位置并用卡尔曼滤波器对目标进行跟踪与预测。
Weighted least square estimation for target location and Kalman filtering for tracking and predication are used in such passive location system.
计算机仿真结果和湖试数据分析表明，将广义相关时延估计法应用于被动定位系统可以获得较高的定位精度。
The computer simulation results obtained and real data analysis indicate that a GCC TDE method can ensure high estimation precision when it is used in passive localization systems.
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