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

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...

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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

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