Accurate pairing method and device for L-type sparse array DOA estimation

Abstract

The invention provides an accurate pairing method for L-type sparse array DOA estimation. The method comprises the following steps that: the autocorrelation matrixes and cross-correlation matrixes of a first subarray and a second subarray are solved; the autocorrelation matrix of a first sub-array virtual optimization array and the autocorrelation matrix of a second sub-array virtual optimization array are calculated; the estimated value of a pitch angle is calculated according to the autocorrelation matrix of the first subarray virtual optimization array; the ambiguous estimated value of an azimuth angle is obtained according to the autocorrelation matrix of the second subarray virtual optimization array and the estimated value of the pitch angle; and the power vector of signals is estimated, the vector is used to solve ambiguity, and two-dimensional DOA estimation and the accurate pairing of the azimuth angle and pitch angle are realized. According to the method disclosed by the invention, the virtual array elements of the sparse arrays are utilized to perform estimation, and therefore, compared with a traditional L-type uniform linear array (ULA)-based estimation method, the method of the invention is greatly improved in degree of freedom and is remarkably improved in DOA estimation performance.

Description

technical field [0001] The invention belongs to the technical field of wireless communication and radar signal processing, and in particular relates to an accurate pairing method and device for L-shaped sparse array DOA estimation. Background technique [0002] Direction of Arrival (DOA) estimation is an antenna array that distinguishes the incident direction of a space source by receiving signals in a specific way. This technology was first used in the military field, mainly for locating enemy targets and implementing detection and precise strikes. In recent years, it has been widely used in radar, sonar, navigation, earthquake, biomedicine, radio astronomy and many other fields. [0003] Among them, two-dimensional DOA estimation plays a crucial role in these fields, because only one-dimensional DOA information is far from enough in practical applications, for example, in the process of data transmission such as mobile communication, it is often necessary to know the inci...

AI Technical Summary

Problems solved by technology

However, at present, there are few related studies on L-shaped sparse arrays, and there are even fewer studies on pairing methods based on L-shaped sparse arrays. It is urgent to study pairing methods based on L-shaped sparse arrays to give full play to the advantages of large degrees of freedom and high resolution of sparse arrays. Therefore, this research has good development prospects and practical value, and it is also a hot spot and difficulty in current research.

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