Estimation Method of Target Angle of Arrival Based on Grid Offset Optimization Based on Source Number Estimation

Abstract

The invention discloses a grid offset optimization object DOA (Direction of Arrival) estimation method based on source number estimation. The grid offset optimization object DOA estimation method based on source number estimation mainly solves the problem that the prior art is low the DOA estimation performance when the source number is unknown and the sample is small and under the coherent source situation. The implementation process of the method comprises: utilizing array element denoising to perform denoising processing for the received data so as to acquire a data observation vector; solving the peak value for the recovery vector acquired through calculation so as to estimate the source number and the primary target DOA; calculating the current peak value and the current cost function; calculating and comparing the left shift cost function value and the right shift cost function value to update the current grid parameter; and not stopping the angle estimation until the adjustable grid step length satisfies the grid precision and the dynamic source number is greater than the estimated source number, and obtaining the secondary DOA estimation vector. The grid offset optimization object DOA estimation method based on source number estimation realizes high-precision DOA estimation for sparse multi targets when the source number is unknown and the sample is small and under the coherent source situation.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and further relates to a method for estimating the angle of arrival of a grid offset optimization target based on the estimation of the number of signal sources in the technical field of array signal processing and compressed sensing. The present invention can effectively solve the problem that the estimation performance of the angle of arrival is reduced in the case of unknown number of sources, small samples and coherent sources, and realizes the estimation of the sparse and multi-target high-precision angle of arrival. Background technique [0002] The estimation of the angle of arrival (DOA: Direction of Arrival) is one of the main problems in the field of array signal processing. With the continuous advancement of science and technology, the estimation accuracy and resolution of the target angle of arrival are getting higher and higher. DOA estimation technology is developed on the...

AI Technical Summary

Problems solved by technology

Although this method can accurately estimate the number of sources and can save a lot of calculation for the direction of arrival estimation signal processing process and reduce hardware overhead, there are still shortcomings that the method is not suitable for small samples and coherent sources. Due to the inaccurate estimation of the covariance matrix, the performance of the number of sources and the direction of arrival estimation will be degraded

Although this method avoids the loss of array aperture, the estimation accuracy is high, and the amount of calculation is small, it still has the disadvantage that the method needs to know the number of sources accurately, and the number of sources in practice is often unknown or difficult to estimate

Although this method can estimate the direction of the target angle of arrival when the number of sources is unknown, it still has the disadvantage that the estimation performance of this method decreases or even fails in the case of small samples and coherent sources.

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