华中科技大学学报：自然科学版2012，Vol.40Issue(2)：85-90,6.
基于粒子滤波的MIMO雷达目标似然比检测方法
Multiple input multiple output radar target likelihood-ratio detection using particle filtering
摘要
Abstract
It is not easy to establish multiple input multiple output （MIMO） radar statistical test model in non-Gaussian clutter backgrounds when signal parameter is stochastic or unknown. Based on the particle filtering, the proposed method calculated the likelihood function by transforming the integraloperation to the sum operation according to the probability distribution function of unknown parameter. And a general MIMO radar target likelihood-ratio detection model is established. This method is available for different kinds of clutter and it resolves the difficulties that it is unable to establish statis-tical test model in non-Gaussian clutter backgrounds. Taking SG-Alpha stable distribution as the model of non-Gaussian clutter, a likelihood-ratio detection method based on particle filtering is estab- lished. Moreover, simulations show that the detection performances of the proposed method are better than the traditional MIMO radar detection method in non-Gaussian clutter backgrounds.关键词
多输入多输出雷达/非高斯杂波/似然比检测/粒子滤波/雷达目标Key words
multiple input multiple output radar/non-Gaussian clutter/likelihood-ratio deteetion/particle filtering~ radar target分类
信息技术与安全科学引用本文复制引用
冯讯,王首勇,朱晓波..基于粒子滤波的MIMO雷达目标似然比检测方法[J].华中科技大学学报：自然科学版,2012,40(2):85-90,6.基金项目
国家自然科学基金资助项目（60872156,61179014）. （）
