Signal angle-of-arrival high-precision estimation method under high sampling 1 bit quantification conditions

A technology of bit quantization and high sampling, applied in the field of spatial spectrum estimation, can solve the problems of small sampling amount and inaccurate acquisition of autocorrelation matrix, and achieve the effect of easy implementation.

Inactive Publication Date: 2017-06-13
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for high-precision estimation of signal angle of arrival under the condition of high-sampling 1-bit quantization, which solves the problem of low SNR, small sampling amount and inaccurate acquisition of autocorrelation matrix

Method used

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  • Signal angle-of-arrival high-precision estimation method under high sampling 1 bit quantification conditions
  • Signal angle-of-arrival high-precision estimation method under high sampling 1 bit quantification conditions
  • Signal angle-of-arrival high-precision estimation method under high sampling 1 bit quantification conditions

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Embodiment 1

[0094] Step 1: There are M=20 array elements, which only accept a snapshot signal y, the noise variance is 0.01, and the signal-to-noise ratio is 16.99db, and the threshold Tr is set as a random value between the maximum value and the minimum value of the received signal . Assuming that the direction of arrival of the signal element is -20°, -40°, y is obtained by 1-bit sampling and quantization in formula (3).

[0095] Step 2: Establish a sparse representation model with p-norm as the sparse constraint item and insensitive ε-SVR on angle estimation:

[0096]

[0097] (·) n,r and(·) n,i represent the real and imaginary parts of the nth component of , respectively,

[0098] Step 3: Solve the non-convex optimization model based on the Alternating Direction Multiplier Method (ADMM), find the sparse representation coefficient, and determine the direction of arrival of the signal by the sparse representation coefficient.

[0099] According to ADMM, the auxiliary variable t...

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Abstract

The invention discloses a signal angle-of-arrival high-precision estimation method under high sampling 1 bit quantification conditions. The method includes the steps: firstly, generating a snapshot signal received by a uniform array comprising M array elements and performing 1 bit quantification sampling on the signal; secondly, building a sparse signal representation model taking a rho norm as a sparse constraint item and combining an insensitive epsilon-SVR (support vector regression) model, and performing sparse representation in original signal information by the aid of a non-convex optimization model; finally, resolving the non-convex optimization model by an ADMM (alternative direction multiplier method) to obtain a sparse representation coefficient for determining the arriving direction of the signal. According to the method, the arriving direction of the signal can be estimated in a high-precision manner without calculating an autocorrelation matrix and without reference to coherence of information sources when sampling quantity is small (such as single-snapshot), and signal arriving direction estimation based on the 1 bit quantification sampling conditions is more easily and rapidly implemented in engineering.

Description

technical field [0001] The invention belongs to the field of spatial spectrum estimation, and in particular relates to a method for estimating the angle of arrival of a signal with high precision under the condition of high-sampling 1-bit quantization. Background technique [0002] Spatial spectrum estimation is a technology that uses receiving arrays combined in different arrangements in space to receive and process source information to obtain source parameters. The superior estimation performance of spatial spectrum estimation on source airspace parameters, such as the number of sources, signal direction of arrival (DOA) and pitch angle, has made it widely used in communication, radar, sonar and biomedicine and other fields. Common spatial array arrangements include uniform linear array, uniform circular array, and planar array. Among them, the uniform linear array is widely used in practical analysis. In the present invention, a uniform linear array is subsequently use...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/00
CPCG01S3/00
Inventor 梁军利张旋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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