雷达科学与技术2016，Vol.14Issue(6)：648-653,660,7.DOI:10.3969/j.issn.1672-2337.2016.06.016
基于 GM-PHD 平滑器的检测前跟踪技术∗
Track-Before-Detect Algorithm Using GM-PHD Smoothing Filter
摘要
Abstract
For the weak target track-before-detect (TBD)problem in radar sensor,when the signal-to-noise ratio is reduced,the TBD algorithm based on Gaussian mixture probability hypothesis density (GM-PHD)cannot estimate the number and state of the target precisely.In order to solve this problem,a new TBD algorithm based on the Gaussian mixture PHD smoothing (SGM-PHD-TBD)algorithm is proposed. Within the framework of the TBD standard observation model,the algorithm adopts the smooth recursion and use a quantity of measurement data to smooth the filtering value.The simulation results show that under the condition of low SNR,the proposed algorithm can improve the estimation of target numbers and the tar-get state to a certain extent and is better than the TBD algorithm based on GM-PHD filter.关键词
弱目标/多目标/GM-PHD 平滑滤波器/检测前跟踪Key words
weak target/multiple targets/GM-PHD smoothing filter/track-before-detect(TBD)分类
信息技术与安全科学引用本文复制引用
朱红鹏,黄勇,修建娟,关键..基于 GM-PHD 平滑器的检测前跟踪技术∗[J].雷达科学与技术,2016,14(6):648-653,660,7.基金项目
国家自然科学基金(No.61501487,61531020,61471382,61401495) （No.61501487,61531020,61471382,61401495）
山东省自然科学基金(No.2015ZRA06052) （No.2015ZRA06052）
“泰山学者”建设工程专项经费资助项目 （）
