| 基于混合粒子滤波的数字电视系统故障诊断方法 |
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| 引用本文： | 潘慈严,屈小康. 基于混合粒子滤波的数字电视系统故障诊断方法[J]. 中国有线电视, 2009, 0(4): 362-365 |
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| 作者姓名： | 潘慈严 屈小康 |
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| 作者单位： | 杭州电子科技大学通信工程学院,浙江,杭州,310018 |
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| 摘 要： | 利用高斯状态空间模型和有效的蒙特卡洛方法来处理数字电视系统故障诊断问题，Rao-Black-wellised粒子滤波算法具有较强的针对性。重点讨论了包括离散状态估计和连续状态估计的数字电视系统，并且通过对Rao-Blackwellised粒子滤波算法和标准粒子滤波算法进行仿真对比，得出了前者具有更好性能的结果。
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| 关 键 词： | 数字电视系统 故障诊断 粒子滤波 Rao-Blackwellised |
Fault Diagnosis of Digital TV System Based on the Hybrid Particle Filter Algorithm |
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| PAN Ci-yan,QU Xiao-kang. Fault Diagnosis of Digital TV System Based on the Hybrid Particle Filter Algorithm[J]. China Cable Television, 2009, 0(4): 362-365 |
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| Authors: | PAN Ci-yan QU Xiao-kang |
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| Affiliation: | (College of Communication Engineering, Hangzhou Dianzi University, Zhejiang Hangzhou 310018, China) |
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| Abstract: | Rao-Blackwellised particle filtering algorithm is pertinent to the fault diagnosis of digital TV system with conditionally Gaussian space models and efficient Monte Carlo method. The article focuses on the digital TV system of discrete and continuous state estimation. On the basis of comparision between the simulation of Rao-Blaekwellised particle filtering algorithm and standard particle filtering algorithm, a conclusion is drawn that the former has better performance. |
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| Keywords: | Rao-Blackwellised |
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