A Direction of Arrival Estimation Method for Noncircular Signals Based on Compressive Sensing

Abstract

The invention discloses a non-circular signal wave arrival direction angle estimation method based on compression perception. The objective of the invention is to solve problems of low utilization rate of array elements and small quantity of signal recognition in the prior art. The method comprises steps of 1), acquiring nest array output signals, calculating covariance matrixes and ellipse covariance matrixes, constructing corresponding covariance vectors, calculating dimensionality of elements in the two vectors, constructing corresponding virtual array vectors and constructing sparse reconstruction vectors; 2), according to the sparse reconstruction vectors, constructing over-complete bases and defining first and second airspace sparse vectors, wave arrival direction angle ranges and constant matrixes; and 3) through the sparse reconstruction method, acquiring optimal estimation of the first airspace sparse vectors, drawing amplitude spectral graphs and finding first K spectrum peaks with the quite big amplitude values, wherein x-axis coordinates corresponding to the peak points of the spectrum peaks are to-be-solved angle values. According to the invention, in case of limited quantity of the array elements, the number of the signal sources recognized by the array can be greatly increased and the method is suitable for target detection and passive positioning.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a method for estimating the direction of arrival angle of array signals of electromagnetic signals, which can be used for reconnaissance and passive positioning of moving targets of aircraft and ships. Background technique [0002] Signal DOA estimation is an important branch in the field of array signal processing. It refers to the use of antenna arrays to inductively receive spatial acoustic signals and electromagnetic signals, and then use modern signal processing methods to quickly and accurately estimate the direction of the signal source. , has important application value in radar, sonar, wireless communication and other fields. [0003] In modern communication, there are more and more applications of non-circular signals such as binary phase shift keying and M-ary amplitude shift keying, so the DOA estimation of non-circular signals has received more and more att...

AI Technical Summary

Problems solved by technology

This method has the ability to estimate the number of signals more than the number of array elements. However, the discussion of this array is focused on the condition that the received signal is a circular signal, and there is no research on how to use this array to process non-circular signals.

[0005] In practical applications, given a certain number of array elements in an environment with non-circular signals, if these array elements and the non-circular characteristics of the signal cannot be reasonably used, enough signals cannot be estimated, resulting in the loss of reconnaissance and positioning resources. waste

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