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Source number estimation method based on Bayesian Information Criterion

A technique for the number of sources and criteria, which is applied in the field of signal processing and can solve problems such as the inability to guarantee the correctness of the estimated number of sources.

Active Publication Date: 2015-07-15
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

Under generalized asymptotic conditions, the classical BIC criterion cannot guarantee the correctness of estimating the number of sources

Method used

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  • Source number estimation method based on Bayesian Information Criterion
  • Source number estimation method based on Bayesian Information Criterion
  • Source number estimation method based on Bayesian Information Criterion

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0029] Consider a uniform linear array with m array elements, and there are d far-field narrowband signals (s 1 (t), L, s d (t)} from different directions incident to the array, assuming that the source and the array are in the same plane, then at the tth snapshot, the output of the array can be expressed as

[0030] x t =As t +w t , (t=1, L, n) (1)

[0031] where x t =[x 1 (t), L, x m (t)] T ∈? m×1 , the s t =[s 1 (t), L, s d (t)] T ∈? d×1 ,w t =[w 1 (t), L, w m (t)] T ∈? m×1 Denote the observation vector, array manifold (steering matrix), signal vector and noise vector, respectively. in, d is the direction of arrival of the i-th source Corresponding steering vector, ( ) T Indicates the transpose operation, d is the number of unknown sources, m is the number of antennas, and n is the number of snapshots. For simpl...

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Abstract

The invention provides a source number estimation method under the frame of the Bayesian Information Criterion (BIC), and is suitable for large-scale self-adaptive antenna scenes, under generalized asymptotic conditions, namely m and n are infinite, m / n is equal to c belonging to zero to infinity, wherein m and n respectively represent the number of antennas and the number of snapshots, and the reliable detection of the source number is provided under the condition. According to the source number estimation method disclosed by the invention, the prior probability is obtained through the co-calculation of a log-likelihood function and a cost function, and the source number is effectively obtained through maximizing the prior probability. Simulation results prove the superiority and the effectiveness of the source number estimation method disclosed by the invention.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a method for estimating the number of information sources under a large-scale adaptive antenna. Background technique [0002] The outstanding contribution to the spectrum utilization makes the massive MIMO system receive extensive attention. The base station (BS) of a massive MIMO system uses a large number of antennas for transmission and reception, which makes traditional subspace-based direction-of-arrival (DOA) estimation algorithms suffer severe performance degradation. When the number of antennas is equivalent to the number of samples, the subspace-based algorithm will not be able to obtain the correct subspace. In order to solve this problem, many more effective subspace algorithms have been proposed to deal with massive MIMO problems. However, the number of sources Estimation is the premise of the subspace algorithm, but there is no corresponding algorithm at present, wh...

Claims

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Application Information

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IPC IPC(8): G01S3/80H04B7/08
CPCG01S3/02
Inventor 黄磊蒋双肖宇航石运梅
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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