双向互选最近邻准则下的多目标TDOA无源定位

为有效解决多目标无源定位中的数据关联难题，提出双向互选最近邻多目标数据关联算法。该算法借鉴全局最近邻思想解决多目标到达时差(TDOA)测量数据关联问题，在设置检测门限对时差测量数据进行关联初选的基础上，将所有目标和初选后数据的关联配对关系进行全局考虑，通过对初选后数据的前后向互选来解决多目标时差测量数据的正确关联问题。该算法在从众多时差测量数据关联配对点中提取真实目标位置的同时，可有效解决时差无源定位中的定位模糊问题，算法模块也可应用到多星测时差、测向-测时差等无源定位系统中。仿真结果表明，该算法能有效解决多目标时差测量数据的关联问题，最终实现对多目标的无源定位。

Multiple Target Passive Location of TDOA Based on Bidirectional Elect and Nearest Neighbor Method

In order to solve the multiple target data association problem of passive location system, a new algorithm based on a bidirectional elect and nearest neighbor method is proposed in this paper. The global-nearest-neighbor method is used to solve the data association problem of time difference of arrival (TDOA). The TDOA measurements are selected by setting a detection threshold, and the selected TDOA measurements are associated with the multiple targets under the global nearest neighbor rule. If one same data is associated with two targets, the data is finally confirmed to one target by using bidirectional elect method. The method proposed in this paper can effectively eliminate the false location points, and the location ambiguity problem can also be avoided. The algorithm can also be used in multiple satellite TDOA location or direction-TDOA location system. At the same time the multi-target passive location results of TDOA are given in this paper. Simulation results show that the method proposed in this paper can solve the TDOA measurement association problem, and can locate multiple targets at the same time.