A near-field point-by-point focusing doa method based on bathymetric side-scan sonar

Abstract

The invention provides a near-field point-by-point focusing DOA method based on depth-finding side-scan sonar, relates to the technical field of sonar signal processing, can achieve high depth-finding accuracy in the near-field range, and satisfies high Accurate sounding requirements; the method steps include: S1, using multi-subarray sonar transducers to transmit and receive sound waves to obtain sonar receiving data; S2, digitally interpolating and filtering sonar receiving data to obtain multi-subarray sonar transducers array filtering data; S3, performing beamforming according to the multi-subarray filtering data; S4, performing DOA estimation by focusing point by point according to the beamforming result. The technical scheme provided by the invention is applicable to the process of underwater sonar measurement.

Description

technical field [0001] The invention relates to the technical field of sonar signal processing, in particular to a near-field point-by-point focusing DOA method based on sounding side-scan sonar. Background technique [0002] In recent years, with the increasingly urgent needs of countries around the world for the exploration and development of marine resources, marine detection sonar technology has also been greatly developed. Active detection sonar is usually used in marine detection. One of the important types is called Side scan sonar. The early side-scan sonar was relatively simple in form, usually using a transducer with only a single line array, so the sonar only had the side-scan function and did not have the sounding function. By the 1970s, foreign scholars proposed the concept of sounding side-scan sonar. The main feature of this sonar is that the transducer is increased to two parallel linear arrays. The algorithm used in the early stage is the acoustic interfere...

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Problems solved by technology

In order to meet the needs of DOA estimation under near-field conditions, YUEN N et al. proposed the near-field generalized ESPRIT algorithm in the paper "Performance analysis of higher order ESPRIT for localization of near-field source", which is based on the signal flow pattern vector Phase symmetry, the spectral function containing the incident angle information can be obtained. Due to the reason of array contrast, the number of sources that can be estimated by this algorithm is only half of the number of array elements; Liang Junli et al. in "Passive Localization of Near-field source using cumulant "In the paper, a MUSIC algorithm based on high-order cumulants was proposed. This algorithm does not need to perform two-dimensional MUSIC search and parameter matching, but still needs to perform one-dimensional MUSIC search and calculate multiple high-order cumulants. The complexity of the overall algorithm is relatively high. high

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