TDOA/AOA Passive Localization Method Based On Non-common View Multi-station Cluster

In the increasingly complex modern electronic warfare,how to accurately and efficiently detect and locate the radiation source target has become a crucial part of the operation.In practical engineering applications,when a mechanical scanning radar radiation source with unknown scanning period characteristics is located,the target information of the radiation source can only be detected by a small part of base station clusters with close spacing within the narrow beam range due to the narrow-beam characteristics of the main lobe signal of the radiation source,resulting in "non-common view" between the base station cluster composed of small baseline and other base station clusters.A single cluster of base stations consisting only of small base stations cannot achieve high precision passive positioning.To solve this problem,this paper is based on the traditional Angle of Arrival(AOA)positioning,Time Difference of Arrival(TDOA)positioning and joint angular time difference positioning algorithms.In this paper,a TDOA/AOA correlation localization method for non-common view multi-station cluster is proposed.The main work contents and research achievements are as follows:Firstly,three common passive location algorithms are analyzed and studied.This paper introduces the positioning model of the joint location algorithm of cross,time difference and Angle time difference,derives the geometric accuracy factors of each location algorithm,and analyzes the changes of positioning errors of each location algorithm under the interference of influencing factors through simulation.Secondly,the TDOA/AOA correlation localization method of non-common view multistation cluster is proposed.Since a single cluster of base stations consisting only of small base stations cannot achieve high precision passive positioning,this paper uses data association to obtain cross-angle positioning information of large base stations to improve passive positioning accuracy.In this paper,the TDOA/AOA correlation localization method for noncommon view multi-station clusters is proposed,which consists of four modules: optimal deployment of non-common view base station cluster,confidence region acquisition of single base station cluster target location,correlation determination of location confidence region and multi-cluster joint location.When the confidence region association given by each base station cluster is determined,the target information obtained by each base station cluster is determined to be associated,and then multi-cluster joint positioning can be adopted.Experimental results show that the proposed method can achieve higher precision positioning.Finally,the paper analyzes and optimizes the site deployment of the non-common view multi-station cluster association location method.Since the non-common-view multi-station cluster association positioning method is essentially a combination of Angle positioning and time difference positioning,based on the site deployment characteristics of Angle and time difference positioning methods,the site deployment of multi-station cluster association positioning method is analyzed,and the conclusion is drawn: The multi-cluster correlation positioning based on star layout has better positioning effect,and under certain conditions,the positioning accuracy can be improved by increasing the intra-cluster spacing and inter-cluster distance.In order to obtain better location effect,the PSO algorithm is used to optimize the site deployment of the multi-station cluster association location method from the two cases of single target and multi-target respectively.The experimental results show that compared with the traditional layout method,the optimal layout using particle swarm optimization algorithm has higher positioning accuracy.