High-resolution sonar location method based on sparsity of objective space

Abstract

The invention discloses a high-resolution sonar location method based on a sparsity of an objective space and mainly solves the problems that a limited array aperture causes insufficient spatial resolution and a signal source coherence causes an inaccurate estimation of an objective location and calculating work of subspace decomposition and data volume are considerable in the prior art. According to the method, a projection matrix which is from a spatial spectrum vector quantity to a ranks synthesis data vector is constructed. By taking advantage of the apriori information of the sparsity of the space target and obtaining data of large signal to noise ratio through a matched filtering, the spatial spectrum vector quantity is carried out with peak detection through an iterative computation to obtain the high-resolution spatial spectrum vector quantity. The objective location can be achieved by taking advantage of the received index value of a peak element through the calculation to gain an objective azimuth angle and an objective pitch angle. The location method has the advantages of being low in the needed data size and calculated amount in the iterative process, suitable for a hardware implementation, high in angular accuracy and improving markedly the spatial resolution.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a high-resolution sonar positioning method based on target space sparsity in the field of array signal processing. The invention can effectively solve the problem of insufficient spatial resolution caused by the limited aperture of the sonar transducer array, and realize high-resolution sonar target positioning. Background technique [0002] Because the energy of high-frequency electromagnetic waves attenuates sharply with the increase of frequency when propagating in water, low-frequency sound waves become an effective carrier for underwater environmental information transmission, so the application and research of sonar technology has received extensive attention. Among them, the use of sonar arrays for target positioning is a major aspect of the application of sonar technology. [0003] At present, there are mainly two methods of sonar target location: multi-beam ...

AI Technical Summary

Problems solved by technology

This method overcomes the coherence of the signal source through subarray smoothing, obtains the signal subspace and noise subspace by performing eigendecomposition on the obtained covariance matrix, and then forms a spatial spectrum in the signal subspace, and performs spectral peaking on the spatial spectrum Searching is used to orientate the target, but there are still disadvantages that this method reduces the array aperture, resulting in a decrease in spatial resolution. At the same time, this method needs to collect a large amount of data to estimate the covariance matrix, which requires a large amount of data, and In this method, the calculation of eigendecomposition is relatively large.

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