Research On Co-location And Precision Evaluation Of The Moving Target

High-precision,high-reliability and high-stability positioning system is the key factor to obtain victory in military confrontation.The research on it has important military application value.Along with the development of electronic technology,air combat environment is increasingly complex,the traditional positioning system with only single sensor has been unable to achieve the high-precision positioning task of moving targets,so we adopt the way of co-location to obtain the accurate target information.Co-location can guarantee the stability and reliability of the system and improve the positioning accuracy.The paper's object is the multi-sensor co-location system with dual-aircraft,making full use of the multi-sensor information fusion technology with multi-platform to locate the target.The cooperative localization algorithms and modes,evaluation of the positioning accuracy and influence factors will be the main contents in the research work.First of all,the development of co-location is studied.A new iterative algorithm based on Gauss-Newton for dual-aircraft cooperative localization will be proposed,it has better positioning accuracy and reliability than the current basic localization algorithms.Next,the algorithm of information fusion from ESM and Phased Array Radar will be specified in details,and simulation result shows that its positioning accuracy is higher than others.Then,the influence factors of this algorithm will be analyzed,and the solution to improve precision will be proposed on the basis of the analysis results.Finally,a software based on C++ with the function of co-location accuracy assessment and analysis will be developed.It can evaluate different co-location modes,verify algorithms performance and analyze the influence factors efficiently,providing important gist for improving the location accuracy.Results show that the proposed integrated cooperative localization algorithm is reasonable and feasible,and is of great practical significance and application prospect.