摘要
利用非线性最小二乘方法的最优性质,本文提出了双基地雷达的两种最优化算法:LMF(Levenberg-Marquardt-Fletcher)定位算法和拟牛顿定位算法。仿真结果表明,与目前的定位优化算法相比,这两种新的定位算法不但具有更好的定位精度,而且在不增加观测量的条件下避免了定位模糊问题。
With the help of optimal performance of the nonlinear least square method, two optimal location algorithms (the LMF location algorithm and quasi-Newton location algorithm) are presented in this paper. Comparing to foregone location algorithms, the simulation results show that the two new location algorithms have better location performance and avoid location ambiguous question without adding new measurements.
关键词
非线性优化
目标定位
双基地雷达
Nonlinear optimize, Location algorithm, Bistatic radar
