基于最大似然估计的多目标定位

宽带高分辨雷达多目标定位问题一般是先进行精确时延估计，再进行源定位。本文提出了一种在频域运用最大似然估计进行目标位置反演的方法，归结为全局搜索--目标函数的极值。通过对仿真数据的处理，结果显示该方法可以准确的估计出多目标位置。

Maximum - Likelihood Multiple Sources Localization Estimation

In the multi-object localization, most of the existing methods are based on accuracy time - delay estimation. In this paper a maximum - likelihood multiple sources localization estimation method is presented. The ML method can be used in estimating multiple source locations, while such case is rather difficult for the time - delay method. In the single source case, the ML estimator is shown to be equivalent to maximizing the sum of the weighed cross-correlations between time shifted sensor data. Numerical examples using simulating data demonstrate the effectiveness of the new method.