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Fast sparse recovery-based super-resolution direction-of-arrival estimation method

A direction of arrival estimation and sparse recovery technology, applied in the field of signal processing, can solve problems such as slow operation speed, poor estimation performance, and difficulty in meeting hardware real-time requirements, and achieve the effect of high spatial resolution

Inactive Publication Date: 2013-11-20
西安安列德电子科技有限公司
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Problems solved by technology

Although this method has the advantages of high resolution, decoherence and short snapshots, it still has the disadvantages that the estimation performance of this method is not good in the case of low signal-to-noise ratio, and because of the slow operation speed of this method, it is difficult to meet the Real-time requirements required for hardware implementation

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings.

[0057] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0058] Step 1. Receive data.

[0059] Collect the echo data of each element of the phased array, and store the echo data in the system memory;

[0060] Step 2. Array element denoising.

[0061] The received data is denoised by the array element according to the following formula, and the data observation vector is obtained:

[0062] y = 1 M X x 1 H

[0063] Among them, y represents the data observation vector, M represents the number of sampling snapshots, X represents the received data of the second to Nth array elements of the phased array, X is a (N-1)×M dimensional matrix, and N represents the phased array number of elements, x 1 Indica...

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Abstract

The invention discloses a fast sparse recovery-based super-resolution direction-of-arrival estimation method, which mainly solves the problems of insufficient spatial resolution under a coherent source condition, poor estimation performance under a low signal-to-noise ratio condition and difficulty in meeting the hardware real-time property requirement due to low operation speed existing in the prior art. The implementation process of the method comprises the following steps: denoising received data by using array element denoising to acquire a data observation vector with a large signal-to-noise ratio; gridding an angle space to be measured to obtain angle units; constructing an observation matrix according to the angle units and array element coordinates; performing zero space adjustment and orthogonal projection according to the observation matrix and the data observation vector to obtain a direction-of-arrival estimated value of a target. The method realizes that super-resolution multi-target direction-of-arrival estimation is achieved under the conditions of low signal-to-noise ratio and coherent source, is high in spatial resolution and quick in operation speed, and is suitable for hardware implementation.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and further relates to a super-resolution DOA estimation method based on fast sparse recovery in the field of array signal processing and compressed sensing. The invention can effectively solve the problem of poor direction-of-arrival estimation performance of the phased array under the condition of low signal-to-noise ratio and coherent source, and realize super-resolution direction-of-arrival estimation. Background technique [0002] Signal Direction of Arrival (DOA: Direction of Arrival) estimation is an important branch in the field of array signal processing. With the continuous advancement of technology, there are increasingly higher requirements for the accuracy and resolution of signal DOA estimation. Super-resolution DOA estimation technology is developed on the basis of beamforming and time-domain spectrum, and has a very wide range of applications in radar and communication. ...

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Application Information

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IPC IPC(8): G01S3/00
Inventor 曾操杨绪李世东李军王兰美陶海红杨志伟廖桂生
Owner 西安安列德电子科技有限公司
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