基于概率的单站多目标无源定位算法

机载单站多目标无源定位是现代电：于侦察领域的重点和难点课题。本文提出了一种基于贝叶斯后验概率最大原理的机载单站多目标无源定位算法。该算法只使用干涉仪给出脉冲序列相位差和载频信息，即可完成对多目标的分选识别和高精度定位，具有定位准确、指示清楚、无需对信号进行预分选的优点。仿真结果表明：在工程可实现的测向、测频精度和考虑载机位置、姿态误差情况下，对于载机一侧的多目标可能达到的定位精度约为距离的2％，是一种具有广阔应用前景的机栽单站无源定位方法。

A Single Observer Passive Location Algorithm Based on Probability in Multi-target Environment

In the field of electronic warfare,the single observer passive location in multi-target environment is an important and difficult problem.An algorithm based on Bayes posterior probability for passive location of multi-target by single observer is presented in this paper.Only using the phase difference obtained from interferometer and the frequency of the target,the deinterleaving,distinguishing and location for multi-target can be finished.There are a lot of merits for this algorithm,such as accurate location,clear indication and without pre-processing signal.Simulation results show that,under the condition of engineering realizable precision of direction finding(DF) and frequency finding,the position and attitude error of the observer station is considered,locating accuracy of this algorithm is about 2 percent of target's distance.This algorithm has broad prospects for application.