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| 基于分数低阶统计量的卡尔曼滤波目标跟踪算法 | |
| 引用本文： | 石一呜,张安清,张琦.基于分数低阶统计量的卡尔曼滤波目标跟踪算法[J].舰船科学技术,2011,33(12). |
| 作者姓名： | 石一呜 张安清 张琦 |
| 作者单位： | 1. 91550部队,辽宁大连,116023 2. 海军大连舰艇学院信息与通信工程系,辽宁大连,116018 3. 海军大连舰艇学院博士研究生队,辽宁大连,116018 |
| 摘 要： | 针对杂波干扰环境中的非高斯特性,发现海杂波噪声、闪烁噪声等具有显著尖峰的非高斯噪声,可以采用α稳定分布建立更符合实际的噪声模型。根据统计信号处理最新理论和技术,利用p阶分数相关和分数低阶协方差替代传统相关和协方差来改进Kalman滤波器,优化获得基于分数低阶统计量的Kalman滤波目标跟踪新算法(FLOS-KF)。仿真验证了FLOS-KF滤波跟踪新算法可以更好地适应非高斯复杂环境,得到稳健的跟踪效果。 |
| 关 键 词： | 目标跟踪 舰艇火控系统 Kalman滤波 α稳定分布 分数低阶统计量 |
Optimized fractional lower order covariance Kalman filter algorithm |
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| SHI Yi-ming,ZHANG An-qing,ZHANG Qi.Optimized fractional lower order covariance Kalman filter algorithm[J].Ship Science and Technology,2011,33(12). | |
| Authors: | SHI Yi-ming ZHANG An-qing ZHANG Qi |
| Institution: | SHI Yi-ming1,ZHANG An-qing2,ZHANG Qi3(1.91550 Unit,Dalian 116023,China,2.Department of Information and Communication Engineering,Dalian Naval Academy,Dalian 116018,3.PHD Team,China) |
| Abstract: | Aimed at non-Gaussian characteristics in clutter jamming environment,this paper studies significant peak non-Gaussian noise for sea clutter noise and glint noise described by alpha stable distribution,establishing noise model accord with reality.According to the lastest theory and technology of statistics signal processing,make use of p order fractional associated and fractional lower order covariance to modify Kalman filter,optimized fractional lower order covariance Kalman filter new algorithm,which is in... |
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