基于最小平方算法的被动浮标目标定位

Target orientation of passive buoys based on least square algorithm

摘要:

对多被动浮标的目标定位问题进行了研究，在给定各枚浮标与目标之间距离的差值的条件下，给出一种基于最小平方意义下的被动目标定位算法，即在保证定位误差平方最小的条件下，实现目标定位的方法。在对算法定位原理及定位误差研究分析的基础上，针对近场目标和远场目标两种情况，采用Monte-Carlo方法对该算法的定位性能进行了仿真；在一定假设条件下，仿真分析了不同距离差值量测噪声对目标位置误差、位置均方根误差及方位误差的影响，并且对近场目标和远场目标两种情况下目标定位的性能进行了分析比较。

Abstract:

Target orientation using multiple passive buoys was studied. A kind of passive target orientation algorithm based on least square algorithm was put forward under the condition of knowing the range differences between each buoy and target, namely, a method to realize target orientation while making the square of localization error least. Based on the analysis of localization rule and localization error of this algorithm, orientation performances were simulated by using Monte-Carlo for far-field and near-field cases. Under the condition of some hypothesis, the effects of different measured range differences on the target location error, location RMS error and bearing error were analyzed by simulation, and the orientation performances under two cases of far-field and near-field targets were analyzed and compared.