Compression-sensing-based DOA estimation method for intelligent antenna

A smart antenna, compressed sensing technology, applied in the field of communication, can solve the problems of large amount of data and complex information processing

Inactive Publication Date: 2016-09-28
TIANJIN UNIV OF COMMERCE
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Problems solved by technology

[0008] In order to overcome the shortcomings of the above-mentioned prior art, the present invention aims at the shortcomings of the traditional DOA estimation algorithm, which has a large amount of sampled data and complex information processing, and provides a smart antenna DOA estimation method based on compressed sensing, which can accurately estimate the correlation on the basis of a small amount of sampling information. information, a new DOA estimation method is provided

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Embodiment 1

[0078] According to the above theory, the following simulation experiments are carried out on the DOA estimation method of smart antenna compressed sensing based on the OMP algorithm:

[0079] (1) Sparse reconstruction experiment of signal using OMP algorithm

[0080] The cosine signal x with a length of 256 is sparse in the fast Fourier transform domain. A Gaussian random matrix is ​​selected as the observation matrix. The length of the observed data of the cosine signal x is 64. According to the observed data, the cosine signal x is reconstructed using the OMP algorithm. experiment, the result is as figure 1shown.

[0081] In this experiment, the cosine signal x itself is not sparse. First, the fast Fourier transform base is selected to make x sparse, and the observation matrix is ​​selected as a Gaussian random matrix. Then the observation matrix is ​​multiplied by the orthogonal inverse transformation matrix to form a perception matrix. The sparse representation coeffici...

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Abstract

The invention, which belongs to the communication technology, especially relates to a compression-sensing-based direction-of-arrival (DOA) estimation method for an intelligent antenna. According to a sparse characteristic of a target signal in a natural space in an airspace, a CS-theory-based DOA estimation model under single sampling is constructed; on the basis of the constructed DOA estimation model, CS-theory-based DOA estimation is realized, thereby obtaining a DOA of the target signal; and with an orthogonal matching pursuit algorithm, a reconstruction problem of a s spatial sparse signal in the CS-theory-based DOA estimation is solved, and iteration is carried out by multiple times and thus a residual error between an estimation signal and an original signal is reduced continuously, so that the estimation signal is close to the original signal and DOA estimation is completed. The method has the following beneficial effects: relevant information can be estimated accurately based on a little sampling information; and thus novel DOA estimation method is provided.

Description

technical field [0001] The invention belongs to communication technology, in particular to a method for estimating DOA of smart antennas based on compressed sensing. Background technique [0002] Smart antennas have direction finding and beamforming capabilities, which are of great significance for improving spectrum utilization in wireless communication systems, increasing system capacity, and improving communication quality. Among them, Direction of Arrival (DOA) estimation is the most one of the key technologies. DOA estimation technology is a signal processing technology based on time-domain spectrum estimation and spatial filtering. The purpose is to use the output of the antenna array to detect the position information of all expected users that appear in a certain range of space at the same time, that is, to estimate from the array data. The bearing information of each user signal. In many problems related to signal processing, it is necessary to estimate the DOA of...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/14
CPCG01S3/14
Inventor 张勇张立毅陈雷孙云山费腾
Owner TIANJIN UNIV OF COMMERCE
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