| 引用本文: | 宋小全,孙仲康.非高斯噪声下的滤波方法.[J].国防科技大学学报,1997,19(6):61-68.[点击复制] |
| Song Xiaoquan,Sun Zhongkang.Filtering Method with Non-Gaussian noise[J].Journal of National University of Defense Technology,1997,19(6):61-68[点击复制] |
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| 非高斯噪声下的滤波方法 |
| 宋小全, 孙仲康 |
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(国防科技大学 电子工程学院 湖南 长沙 410073)
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| 摘要: |
| 干扰条件下的机动目标跟踪在一些文献(1)(2)中已有讨论，但利用多传感器，尤其是被动传感器进行非高斯观测噪声条件下的目标跟踪仍需要研究。本文讨论了被动传感器在随机干扰条件下进行机动目标跟踪的方法，其观测量包含非高斯噪声，也可能包含影响观测值的随机干扰。与基于卡尔曼滤波的常见方法不同，采用动态规划算法进行多假设检验，从而估计目标的状态。仿真试验表明，本文方法能有效地处理非高斯噪声情况下的目标跟踪问题，而基于卡尔曼滤波的跟踪方法，比如EKF，则效果较差。 |
| 关键词: 跟踪 动态规划 卡尔曼滤波 闪烁噪声 |
| DOI： |
| 投稿日期：1997-06-23 |
| 基金项目: |
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| Filtering Method with Non-Gaussian noise |
| Song Xiaoquan, Sun Zhongkang |
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(Institule of Electronic Engineering, NUDT Changsha，410073)
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| Abstract: |
| Tracking a maneuvering target in a nonlinear interference environment has been discussed in some literature，and this paper considers the problem of tracking with multiple passive sensors in the non-Gaussian noise environment. The measurements possibly include random interference and Glint noise. The method of target state estimation in this paper is a dynamic programming approach. Unlike the traditional method，we reduce the estimating problem to a multiple hypothesis-testing problem，and then use the dynamic programming algorithm to solve the problem of tracking with non-Gaussian noise. The simulation results show the superiority of the new method. |
| Keywords: tracking dynamic programming Kalman-filter Glint-noise |
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