空军工程大学学报（自然科学版）2011，Vol.12Issue(1)：46-50,5.DOI:10.3969/j.issn.1009-3516.2011.01.010
基于冗余信息的虚假点消除算法
Study of Algorithm for Eliminating Ghost Based on Redundant Information
摘要
Abstract
The ghost problem exists in multi -DF station multi -target passive cross- location under complicated environment. The number of ghost is increased rapidly and the correct association is more difficult along with the increasing DF station and target. Aimed at this problem, two algorithms of eliminating ghost based on redundant information are presented. By associating data with azimuth angle or TDOA redundant information selectively, high computation burden can be avoided effectively when associating directly with azimuth angle data of all DF stations,based on ensuring certain association probability. Computer simulations show that these two algorithms are effective. Because of using additional TDOA redundant information, the correct association probability of eliminating ghost algorithm based on TDOA redundant information is higher than that of eliminating ghost algorithm based on azimuth angle redundant information when the TDOA error is lower than 0.5ms. The eliminating ghost algorithm based on TDOA redundant information is more adapted to the occasion with high TDOA precision 、low space between targets, and big DF error.关键词
无源定位/冗余信息/虚假定位点/时差Key words
passive location/ redundant information/ ghost/ TDOA分类
信息技术与安全科学引用本文复制引用
陈红,蔡晓霞,谭坤,贾占彪..基于冗余信息的虚假点消除算法[J].空军工程大学学报（自然科学版）,2011,12(1):46-50,5.基金项目
国家"863"计划资助项目(2007AA111008A1) （2007AA111008A1）
安徽省自然科学基金资助项目(070412053) （070412053）
