天津科技大学学报2016，Vol.31Issue(6)：74-78,5.DOI:10.13364/j.issn.1672-6510.20150254
基于改进残差重采样粒子滤波的纯方位目标追踪
Bearing-only Target Tracking with an Improved Residual Resampling Particle Filter
摘要
Abstract
Problems in single station passive target tracking for estimating the state of the moving target based on successive measurement have been studied.Based on this,an improved residual resampling particle filter algorithm was proposed, which prevents uncensored discarding of the low weighted particles and maintains the diversity of the sample particles.The key idea in the new algorithm is to select the important particles based on not only their weight but also their state val-ues.Simulations of single station passive target tracking demonstrate the estimation accuracy of the algorithm,which is bet-ter than the traditional residual resampling method,especially when the sample size is small.关键词
粒子滤波/纯方位目标追踪/残差重采样Key words
particle filter/bearing-only target tracking/residual resampling分类
信息技术与安全科学引用本文复制引用
杨伟明,薛召,刘玉良..基于改进残差重采样粒子滤波的纯方位目标追踪[J].天津科技大学学报,2016,31(6):74-78,5.基金项目
国家自然科学基金资助项目(51674176，81472070)；天津市高等学校科技发展基金资助项目(20130707) （51674176，81472070）
