Improved MDL method for estimation of source number at subarray level

Xiaopeng Yang; Shuai Li; Xiaona Hu; Tao Zeng

doi:10.1049/el.2015.2804

Improved MDL method for estimation of source number at subarray level

Xiaopeng Yang^*, Shuai Li, Xiaona Hu, Tao Zeng

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

The eigenvalue-based minimum description length (MDL) method for source number estimation is widely applied in practical scenarios. However, the performance of the MDL method degrades significantly when it is applied to an asymmetrical subarray situation due to the inequality of the noise power of each channel. Therefore, an improved MDL method for subarray level is proposed by normalising noise power to reconstruct the received signal covariance matrix. Simulation results show that the proposed method outperforms the conventional source number estimation methods for a subarray situation.

Original language	English
Pages (from-to)	85-86
Number of pages	2
Journal	Electronics Letters
Volume	52
Issue number	1
DOIs	https://doi.org/10.1049/el.2015.2804
Publication status	Published - 8 Jan 2016

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Yang, X., Li, S., Hu, X., & Zeng, T. (2016). Improved MDL method for estimation of source number at subarray level. Electronics Letters, 52(1), 85-86. https://doi.org/10.1049/el.2015.2804

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abstract = "The eigenvalue-based minimum description length (MDL) method for source number estimation is widely applied in practical scenarios. However, the performance of the MDL method degrades significantly when it is applied to an asymmetrical subarray situation due to the inequality of the noise power of each channel. Therefore, an improved MDL method for subarray level is proposed by normalising noise power to reconstruct the received signal covariance matrix. Simulation results show that the proposed method outperforms the conventional source number estimation methods for a subarray situation.",

author = "Xiaopeng Yang and Shuai Li and Xiaona Hu and Tao Zeng",

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AU - Zeng, Tao

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N2 - The eigenvalue-based minimum description length (MDL) method for source number estimation is widely applied in practical scenarios. However, the performance of the MDL method degrades significantly when it is applied to an asymmetrical subarray situation due to the inequality of the noise power of each channel. Therefore, an improved MDL method for subarray level is proposed by normalising noise power to reconstruct the received signal covariance matrix. Simulation results show that the proposed method outperforms the conventional source number estimation methods for a subarray situation.

AB - The eigenvalue-based minimum description length (MDL) method for source number estimation is widely applied in practical scenarios. However, the performance of the MDL method degrades significantly when it is applied to an asymmetrical subarray situation due to the inequality of the noise power of each channel. Therefore, an improved MDL method for subarray level is proposed by normalising noise power to reconstruct the received signal covariance matrix. Simulation results show that the proposed method outperforms the conventional source number estimation methods for a subarray situation.

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Improved MDL method for estimation of source number at subarray level

Abstract

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