华中科技大学学报（自然科学版）Issue(3)：23-27,32,6.DOI:10.13245/j.hust.140306
基于 GHF 高斯粒子滤波的检测前跟踪算法
Track-before-detect algorithm based GHF Gaussian particle filter
摘要
Abstract
As the particle degeneracy problem in the particle filter ,the detecting and tracking per-formance of track-before-detect (TBD) algorithm based on the particle filter descended .Therefore , the TBD algorithm based Gaussian-Hermite filter (GHF) Gaussian particle filter (GPF) was pro-posed .Based the GPF ,the continue particles could be more approach to the real true posterior proba-bility distribution including latest measuring information ,which was sampled from the important den-sity function based on the GHF .The experimental results show that the performance of detecting and tracking of targets by the proposed TBD algorithm is superior to the standard TBD algorithm .关键词
检测前跟踪/粒子滤波/粒子退化/高斯粒子滤波/重要性密度函数/高斯-哈密顿滤波Key words
track-before-detect (TBD )/particle filter/particle degeneracy/Gaussian particle filter (GPF)/important density function/Gaussian-Hermite filter (GHF)分类
信息技术与安全科学引用本文复制引用
郑作虎,王首勇,郑岱堃..基于 GHF 高斯粒子滤波的检测前跟踪算法[J].华中科技大学学报（自然科学版）,2014,(3):23-27,32,6.基金项目
国家自然科学基金资助项目（61179014，60872156）． （）
