Dual-layer-hybrid-array-based estimation method for direction angle of arrival

Abstract

The invention discloses a dual-layer-hybrid-array-based estimation method for a direction angle of arrival. With the method, problems of high operation load, a few of identification signal sources, and large estimation error in the prior art can be solved. The method comprises the following steps: (1), a one-layer coprime array and a two-layer nesting array are constructed respectively; (2), an output signal of the one-layer coprime array and an output signal of the two-layer nesting array are obtained; (3), on the basis of the output signal of the one-layer coprime array and the output signal of the two-layer nesting array, all four-order cumulants are calculated to form a four-order cumulant vector; (4), according to the four-order cumulant vector, an over-complete base is constructed and an airspace sparse vector is defined; (5), detection airspace direction-angle-of-arrival estimation is converted into sparse constraint equation solving; (6), with a convex optimization method, a sparest solution of an airspace sparse vector is obtained; and (7), an amplitude spectrogram is drawn based on the sparest solution and a direction angle of arrival is obtained. According to the method provided in the invention, the signal source number with identifiable arrays increases substantially under the circumstance that the array element number is limited. The method is suitable for target scouting and passive location.

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. With the continuous advancement of science and technology, there are higher and higher requirements for the degree of freedom that the array can achieve when estimating the signal direction of arrival. [0003] In the research on this pro...

AI Technical Summary

Problems solved by technology

However, this method is equivalent to using a uniform array to expand the coprime array, and the position of the array element is not set properly so that the array element cannot reach the maximum utilization rate.

In practical applications, if a certain number of arr

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