MMSE-based MDL method for accurate source number estimation

Lei Huang; Teng Long; Erke Mao; H. C. So

doi:10.1109/LSP.2009.2024785

MMSE-based MDL method for accurate source number estimation

Lei Huang^*, Teng Long, Erke Mao, H. C. So

^*此作品的通讯作者

信息与电子学院

科研成果: 期刊稿件 › 文章 › 同行评审

33 引用（Scopus）

摘要

In civilian communication systems, the signature sequence of the desired signal in training phase is known to the receiver. In this letter, using the mutual information, we bridge the probability density function and minimum mean-square error (MMSE) between the observed data and training sequence of the desired signal, and then employ the MMSE to construct a minimum description length (MDL) criterion for accurate source enumeration. Numerical results demonstrate that the proposed method is superior to existing MDL methods in terms of detection performance particularly for small number of snapshots and/or source angular separation.

源语言	英语
文章编号	2024785
页（从-至）	798-801
页数	4
期刊	IEEE Signal Processing Letters
卷	16
期	9
DOI	https://doi.org/10.1109/LSP.2009.2024785
出版状态	已出版 - 2009

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Huang, L., Long, T., Mao, E., & So, H. C. (2009). MMSE-based MDL method for accurate source number estimation. IEEE Signal Processing Letters, 16(9), 798-801. 文章 2024785. https://doi.org/10.1109/LSP.2009.2024785

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keywords = "Eigenvalue decomposition, Minimum description length, Sensor array processing, Source number estimation",

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AU - So, H. C.

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N2 - In civilian communication systems, the signature sequence of the desired signal in training phase is known to the receiver. In this letter, using the mutual information, we bridge the probability density function and minimum mean-square error (MMSE) between the observed data and training sequence of the desired signal, and then employ the MMSE to construct a minimum description length (MDL) criterion for accurate source enumeration. Numerical results demonstrate that the proposed method is superior to existing MDL methods in terms of detection performance particularly for small number of snapshots and/or source angular separation.

AB - In civilian communication systems, the signature sequence of the desired signal in training phase is known to the receiver. In this letter, using the mutual information, we bridge the probability density function and minimum mean-square error (MMSE) between the observed data and training sequence of the desired signal, and then employ the MMSE to construct a minimum description length (MDL) criterion for accurate source enumeration. Numerical results demonstrate that the proposed method is superior to existing MDL methods in terms of detection performance particularly for small number of snapshots and/or source angular separation.

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MMSE-based MDL method for accurate source number estimation

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