Exact Formulation for Stochastic ML Estimation of DOA-Reference-Cited by-同舟云学术

Exact Formulation for Stochastic ML Estimation of DOA

Published:2010 Issue:11 Volume:E93-A Page:2141-2152
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

CHEN Haihua¹,SUZUKI Masakiyo¹

Affiliation:

1. Faculty of Information and Communication Engineering, Kitami Institute of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

http://www.jstage.jst.go.jp/article/transfun/E93.A/11/E93.A_11_2141/_pdf

Reference22 articles.

1. [1] Y. Bresler and A. Macovski, “Exact maximum exactlikelihood parameter estimation of superimposed exponential signals in noise, ” IEEE Trans. Acoust. Speech Signal Process., vol.ASSP-34, no.5, pp.1081-1089, Oct. 1986.

2. [2] I. Ziskind and M. Wax, “Maximum likelihood localization of multiple sources by alternating projection, ” IEEE Trans. Acoust. Speech Signal Process., vol.36, no.10, pp.1553-1560, Oct. 1988.

3. [3] P. Stoica and K.C. Sharman, “Maximum likelihood methods for direction-of-arrival estimation, ” IEEE Trans. Acoust. Speech Signal Process., vol.38, no.7, pp.1132-1143, July 1990.

4. [4] J.C. Pei and J.F. Bohme, “Recursive EM and SAGE-inspired algorithms with application to DOA estimation, ” IEEE Trans. Signal Process., vol.53, no.8, pp.2664-2677, Aug. 2005.

5. [5] Y.C. Chih and Y.T. Su, “Maximum likelihood DOA estimation based on the cross-entropy method, ” Proc. ISIT 2006, pp.851-855, July 2006.

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