| EM-HMM多频率线跟踪算法 |
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| 引用本文： | 谢贤亚,王家鼎,李焕润. EM-HMM多频率线跟踪算法[J]. 电子学报, 2002, 30(1): 22-26 |
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| 作者姓名： | 谢贤亚 王家鼎 李焕润 |
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| 作者单位： | 1. 上海大学自动化系,上海,200072
2. 上海大学计算机系,上海,200072 |
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| 基金项目： | 国家自然科学基金 (No .69672 0 1 6) |
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| 摘 要： | 基于隐马尔可夫模型的多频率线跟踪算法 ,能在很低的SNR环境下工作 ,但量化误差较大 ,和计算量大 .本文提出另一种选择量测向量和计算量测概率的方法 ,创造条件减小量化误差 .又经简单论证 ,将EM算法和HMM用于多频率线跟踪 ,严格地 (而不是启发式地 )得到EM HMM算法 ,可以极大地减少计算量 .本文又提出获得初始估计以启动EM HMM算法的二种方法 .仿真计算表明 ,所提的算法是有效的
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| 关 键 词： | 多频率线跟踪 隐马尔可夫模型 量测概率 EM-HMM算法 |
| 文章编号： | 0372-2112(2002)01-0022-05 |
| 修稿时间： | 2000-07-22 |
EM-HMM Multiple Frequency Line Tracking Algorithm |
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| XIE Xian ya ,WANG Jia ding ,LI Huan run. EM-HMM Multiple Frequency Line Tracking Algorithm[J]. Acta Electronica Sinica, 2002, 30(1): 22-26 |
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| Authors: | XIE Xian ya WANG Jia ding LI Huan run |
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| Affiliation: | XIE Xian ya 1,WANG Jia ding 1,LI Huan run 2 |
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| Abstract: | The HMM based multiple frequency line tracking algorithms of work well under very low SNR,except for a high complexity of computation and for generally unnegligible quantization error.In this paper a new choice of measurement vector and the corresponding computation of measurement probability are presented to reduce the quantization error.And to reduce the computation burden,the idea of the EM algorithm is applied to the multiple frequency line case and the EM HMM tracking algorithm is naturally developed.Finally,two methods for initializing the EM HMM algorithm are presented.Simulations show that all these are effective. |
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| Keywords: | multiple frequency line tracking hidden Markov model measurement probability EM HMM algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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