吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (02): 532-537.

• 论文 • 上一篇    下一篇

一种基于EM算法的快速收敛参数估计方法

王戈, 于宏毅, 沈智翔, 胡赟鹏   

  1. 解放军信息工程大学 信息工程学院, 郑州 450002
  • 收稿日期:2012-02-10 出版日期:2013-03-01 发布日期:2013-03-01
  • 作者简介:王戈(1982-),男,博士研究生.研究方向:通信信号处理,信号解调算法.E-mail:superwangge@sohu.com
  • 基金资助:

    "973"国家重点基础研究发展规划项目(613148);国家科技重大专项项目(2008ZX03006).

Fast convergence parameter estimation method based on expectation-maximum algorithm

WANG Ge, YU Hong-yi, SHEN Zhi-xiang, HU Yun-peng   

  1. Institute Information Engineering, The PLA Information Engineering University, Zhengzhou 450002, China
  • Received:2012-02-10 Online:2013-03-01 Published:2013-03-01

摘要: 将EM算法用于参数估计中,提出了一种在EM算法迭代中使用符号后验概率修正先验概率的快速收敛参数估计方法。通过分析参数估计的CRB与EM算法收敛速率的关系,指出通过降低参数估计的CRB可以提高EM算法的收敛速率。证明了修正之后的算法能加速算法收敛的机理,即降低了缺失数据的熵;同时证明了修正后的算法仍然收敛到修正前的似然函数。最后以载波相位估计为例与传统基于EM算法的相位估计方法进行比较,仿真结果表明,在不影响估计性能的前提下,算法收敛速率明显加快。

关键词: 通信技术, 期望最大化算法, 先验概率, 收敛速率, 同步参数估计, Cramer-Rao下界

Abstract: A fast convergence parameter estimation method based on Expectation-Maximum (EM) algorithm is developed. This method modifies the priori probability with posteriori probability in the iteration of the EM algorithm. The relationship between the CRB of parameter estimation and the convergence speed of the EM algorithm is analyzed. It is shown that to decrease the CRB of parameter estimation can accelerate the convergence speed of the EM algorithm. The mechanism to accelerate the convergence speed by the modified algorithm is proved, that is to reduce the entropy of the missing data. It is also proved that the modified algorithm can converge to the likelihood function as the non-modified algorithm. Taking phase estimation as example, the modified method is compared with traditional method based on EM algorithm. Simulation results show that, without affecting the estimation performance, the convergence speed of the modified method is faster.

Key words: communication technology, expectation-maximization algorithm, priori probability, convergence speed, synchronization parameters estimation, CRB

中图分类号: 

  • TN911.23
[1] Dempster A P, Laird N M,Rubin D B. Maximum-likelihood from incomplete data via the EM algorithm[J]. Journal of the Royal Statistical Society, Ser. B, 1977, 39(1):1-38.

[2] McLachlan G J, Krishnan T. The EM Algorithm and Extensions[M]. New York: Wiley Series in Probabil. Statist,1997.

[3] Jeff Wu C F. On the convergence properties of the EM algorithm[J]. The Annals of Statistics,1983, 11(1):95-103.

[4] Louis T A. Finding the observed information matrix when using the EM algorithm[J].Journal of the Royal Statistical Society, 1982, B44:226-233.

[5] Meng X L, Rubin D B. On the Global and Component Wise Rate of Convergence of the EM Algorithm[J].Linear Algebra and Its Applications, 1994,199(Sup.1): 413-425.

[6] Noels N, Herzet C, Dejonghe A, et al. Turbo synchronization: an EM algorithm interpretation//IEEE International Conference on Communication, ICC', 2003.

[7] Lottici V, Luise M. Embedding carrier phase recovery into iterative decoding of turbo-coded linear modulations//IEEE Trans on Communication, 2004,52(4): 661-669.

[8] Carl R Nassar, Reza M Soleymani. Joint sequence detection and phase estimation using the EM algorithm//Conference on Electrical and Computer Engineering, 1994:296-299.

[9] Moeneclaey M. A fundamental lower bound to the performance of pratical joint carrier and bit synchronizers[J]. IEEE Trans Commun, 1984, COM-32:1007-1012.

[10] Andrea A N D, Mengali U, Reggiannini R. The modified cramer-rao bound and its application to synchronization problems[J].IEEE Tran on Comm, 1994,42(2):1391-1399.

[11] Cowley W G. Phase and frequency estimation for PSK packets: Bounds and algorithms[J].IEEE Trans Commun, 1996, 44: 26-28.

[12] Noels N, Steendam H, Moeneclaey M. The cramer-rao bound for phase estimation from coded linearly modulated signals[J]. IEEE Commun Lett, 2003,7(5):207-209.

[13] Moeneclaey M. On the true and the modified cramer-rao bounds for the estimation of a scalar parameterin the presence of nuisance parameters[J]. IEEE Tran on Comm, 1998, 46(11):1536-1544.

[14] Tavares G N, Tavares L M, Petrolino A. On the true cramér-rao lower bound for data-aided carrier-phase-independent frequency offset and symbol timing estimation[J]. IEEE Tran on Comm, 2010,58(2): 442-447.

[15] Herzet C, Vandenclorpe L.Prediction of the EM-algorithm speed of convergence with Cramer-Rao bounds//IEEE Int Conf Acoust,Speech Signal Process (ICASSP), HI, 2007.
[1] 周彦果,张海林,陈瑞瑞,周韬. 协作网络中采用双层博弈的资源分配方案[J]. 吉林大学学报(工学版), 2018, 48(6): 1879-1886.
[2] 孙晓颖, 扈泽正, 杨锦鹏. 基于分层贝叶斯网络的车辆发动机系统电磁脉冲敏感度评估[J]. 吉林大学学报(工学版), 2018, 48(4): 1254-1264.
[3] 董颖, 崔梦瑶, 吴昊, 王雨后. 基于能量预测的分簇可充电无线传感器网络充电调度[J]. 吉林大学学报(工学版), 2018, 48(4): 1265-1273.
[4] 牟宗磊, 宋萍, 翟亚宇, 陈晓笑. 分布式测试系统同步触发脉冲传输时延的高精度测量方法[J]. 吉林大学学报(工学版), 2018, 48(4): 1274-1281.
[5] 丁宁, 常玉春, 赵健博, 王超, 杨小天. 基于USB 3.0的高速CMOS图像传感器数据采集系统[J]. 吉林大学学报(工学版), 2018, 48(4): 1298-1304.
[6] 陈瑞瑞, 张海林. 三维毫米波通信系统的性能分析[J]. 吉林大学学报(工学版), 2018, 48(2): 605-609.
[7] 张超逸, 李金海, 阎跃鹏. 双门限唐检测改进算法[J]. 吉林大学学报(工学版), 2018, 48(2): 610-617.
[8] 关济实, 石要武, 邱建文, 单泽彪, 史红伟. α稳定分布特征指数估计算法[J]. 吉林大学学报(工学版), 2018, 48(2): 618-624.
[9] 李炜, 李亚洁. 基于离散事件触发通信机制的非均匀传输网络化控制系统故障调节与通信满意协同设计[J]. 吉林大学学报(工学版), 2018, 48(1): 245-258.
[10] 孙晓颖, 王震, 杨锦鹏, 扈泽正, 陈建. 基于贝叶斯网络的电子节气门电磁敏感度评估[J]. 吉林大学学报(工学版), 2018, 48(1): 281-289.
[11] 武伟, 王世刚, 赵岩, 韦健, 钟诚. 蜂窝式立体元图像阵列的生成[J]. 吉林大学学报(工学版), 2018, 48(1): 290-294.
[12] 袁建国, 张锡若, 邱飘玉, 王永, 庞宇, 林金朝. OFDM系统中利用循环前缀的非迭代相位噪声抑制算法[J]. 吉林大学学报(工学版), 2018, 48(1): 295-300.
[13] 王金鹏, 曹帆, 贺晓阳, 邹念育. 基于多址干扰和蜂窝间互扰分布的多载波系统联合接收方法[J]. 吉林大学学报(工学版), 2018, 48(1): 301-305.
[14] 石文孝, 孙浩然, 王少博. 无线Mesh网络信道分配与路由度量联合优化算法[J]. 吉林大学学报(工学版), 2017, 47(6): 1918-1925.
[15] 姜来为, 沙学军, 吴宣利, 张乃通. LTE-A异构网络中新的用户选择接入和资源分配联合方法[J]. 吉林大学学报(工学版), 2017, 47(6): 1926-1932.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!