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A Method of Angle of Arrival Estimation Based on Improved Greedy Algorithm

A greedy algorithm and signal estimation technology, applied in the field of angle of arrival estimation, can solve the problem of not using the greedy algorithm, and achieve the effect of simple calculation, low complexity and accurate estimation

Inactive Publication Date: 2018-10-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the invention is to propose a method based on the traditional DOA estimation method that requires more snapshot data, and the greedy algorithm in the traditional compressive sensing theory does not use or "blindly" uses the prior support set information. OMP (orthogonal matching pursuit) greedy algorithm improved DOA estimation method, this estimation method uses the information of the signal support set estimated at the previous moment to dynamically estimate the DOA of the signal adaptively

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[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0024] The DOA estimation of the present invention is used for the antenna array ULA (uniform linear array), the number of antenna array elements M=25, and the arrangement interval between array elements is 1 / 2 of the signal wavelength.

[0025] When K=10 signal sources respectively from {θ 1 ,θ 2 ,...,θ K}= {-50°, -40°, -30°, -20°, -10°, 10°, 20°, 30°, 40°, 50°} directions are incident on the above ULA, assuming that each array element The noise above is independent and identically distributed additive white Gaussian noise, then the array received data can be expressed as: y(t)=As(t)+n(t), t=1,2,...,T, where y (t) is an M×1-dimensional array receiving vector, s(t) is a K×1-dimensional signal vector, n(t) is an M×1-dimensional additi...

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Abstract

The invention discloses a method for estimating the angle of arrival based on an improved greedy algorithm, which belongs to the technical field of mobile communication. The present invention evenly divides the entire spatial angle into Nθ angle grids, and obtains a priori signal support set from the index information of the angle grids from the estimation results at the previous moment for DOA estimation at the current moment: the current received data is used as observation data , the array flow pattern matrix under the angle grid is used as the observation matrix to iteratively update the estimated signal support set, and the final estimated signal support set that can be used for DOA estimation is obtained, and the DOA of K signal sources is searched in the angle grid based on its index value estimated value. The invention can be used in the field of smart antenna system or target tracking, and can realize more accurate estimation, simpler calculation, lower complexity and stronger real-time performance.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to a method for estimating an angle of arrival (direction of arrival, referred to as DOA). Background technique [0002] With the rapid development of the mobile communication industry, people's lifestyles are also changing. After experiencing the first-generation analog mobile communication technology and the second-generation mobile communication technology dominated by digital and voice, the third-generation broadband mobile communication technology has also been put into commercial use. In recent years, the number of mobile users has increased rapidly, and the demand for communication services has also increased. Mobile communication technology has been greatly challenged in terms of capacity and bandwidth. The main factors affecting the real-time performance, effectiveness and reliability of mobile communication are: the complexity of the wireless tra...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S3/14
CPCG01S3/14
Inventor 杨姣郑植杨雨轩葛琰刘柯宏孟会鹏
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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