双基地加权最小二乘估计算法定位精度研究

LOCALIZATION ACCURACY OF BISTATIC WLS ALGORITHMS

本文通过将双基地声呐中发射和接收站的测量数据进行融合处理 ,提出了基于加权最小二乘估计 (WLS)的双基地声呐定位优化算法 ,给出了算法的原理和误差分布。通过数值仿真 ,研究了系统参数对算法定位精度的影响 ,给出了不同条件下定位误差的几何分布。并将该算法与单纯基于声波到达时间算法的定位性能进行了比较。仿真结果表明 ,双基地WLS算法充分利用了双基地系统的冗余信息 ,具有较高的定位精度。该研究为多基地声呐水下目标的探测。

Weighted least squares (WLS) localization algorithm for bistatic sonar was proposed by fusing the data of transmitter and receiver. The localization principle and error of the algorithm were given. Through numerical simulation, the effects of the system parameters on localization accuracy were investigated. Geometrical dilution of precision (GDOP) was given. Also, the localization of WLS algorithm was compared with the TOL (time-only-localization) method as to their accuracy. The simulation results show that the WLS algorithm, taking full advantage of the system information, has higher localization accuracy than the TOL method. The study gives a theoretical basis for multistatic detection, localization and tracking.