Maximum-likelihood Parameter Based on EM Algorithm for Passive Source Localization Estimation

机译：基于EM算法的最大似然参数用于被动源定位。

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Source localization using passive sensor arrays has been an active research problem for many years. In this work, the Expectation-Maximization (EM) algorithm is investigated. EM algorithm is a well known recursive method for locating modes of a likelihood function which is characterized by simple implementation and stability. The algorithm is developed for the case of stationary Gauss signals. The application of the algorithm to the multiple source localization estimation problems is considered.

机译：多年来，使用无源传感器阵列进行源定位一直是一个积极的研究问题。在这项工作中，对期望最大化（EM）算法进行了研究。 EM算法是一种众所周知的递归方法，用于定位似然函数的模式，其特征在于实现简单且稳定。该算法是针对固定高斯信号的情况开发的。考虑了该算法在多源定位估计问题中的应用。

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《5th International Symposium on Test and Measurement (ISTM/2003) Vol.6 Jun 1-5, 2003 Shenzhen, China》|2003年|p.4981-4984|共4页
会议地点 Shenzhen(CN);Shenzhen(CN)
作者
Ji Cheng; Li Ping; Liu Shixing;
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作者单位

Dept. of Mechatronic Engineering, Beijing Institute of Tech. Beijing 100081 P. R. China;

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原文格式 PDF
正文语种 eng
中图分类一般工业技术;
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1. Robust maximum-likelihood parameter estimation of stochastic state-space systems based on EM algorithm [J] . 自然科学进展（英文版） . 2007,第009期

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2. Robust maximum-likelihood parameter estimation of stochastic state-space systems based on EM algorithm [J] . Zhong Lusheng Progress in Natural Science . 2007,第9期

机译：基于EM算法的随机状态空间系统的鲁棒最大似然参数估计
3. Maximum-likelihood localization of narrow-band autoregressive sources via the EM algorithm [J] . Ziskind I., Hertz D. IEEE Transactions on Signal Processing . 1993,第8期

机译：EM算法对窄带自回归源的最大似然定位
4. Maximum-likelihood Parameter Based on EM Algorithm for Passive Source Localization Estimation [C] . Ji Cheng, Li Ping, Liu Shixing International symposium on test and measurement . 2003

机译：基于EM算法的无源源定位估计的最大似然参数
5. Bayesian Parameter Estimation for the Localization of a Radioactive Source in a Heterogeneous Urban Environment [D] . Hite, Jason Michael. 2019

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6. Design and Performance Evaluation of an Algorithm Based on Source Term Estimation for Odor Source Localization [O] . Faezeh Rahbar, Ali Marjovi, Alcherio Martinoli 2019

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7. Iterative algorithm for the estimation of distributed sources localization parameters [O] . Pascual Iserte Antonio, Pérez Neira Ana Isabel, Lagunas Hernandez Miguel A. 10000

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8. Lognormal Distribution Maximum-Likelihood Parameter Estimation Algorithms [R] . Dudel, H. P., Hall, C. E., Lehnigk, S. H. 1989

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Maximum-likelihood Parameter Based on EM Algorithm for Passive Source Localization Estimation

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