Vector array steady focusing processing method with combined constraint optimization form

Abstract

The invention provides a vector array steady focusing processing method with a combined constraint optimization form. The method comprises the following steps of: (a) generating a vector array data matrix Sv(r, theta, phi); (b) obtaining a sampled data covariance matrix R<(v)> having a symmetrical structure, and performing Cholesky decomposition on the R<(v>) to obtain a Cholesky decomposition factor U<(v)>; (c) generating vector array focusing-oriented vectors of different scanning positions; (d) applying a steady combined constraint optimization condition to the vector array focusing-oriented vectors and the decomposition factor U<(v)>, and summarizing to obtain a vector array steady focusing processor form which can be used for performing combined constraint on vector array focusing-oriented vector mismatch and a limited sampling effect simultaneously; (e) obtaining an optimal weight vector w; (f) obtaining optimized array output power; and (g) setting an appropriate step length, and repeating the step (c) to the step (f), searching for a complete plane, comparing, outputting a power spectrum, and determining the position of a noise source at a spectral peak position. The vector array steady focusing processing method is suitable for positioning an underwater noise source under a vector array testing condition.

Description

technical field [0001] The invention relates to an underwater array signal processing method, which is suitable for underwater noise source location based on vector array test conditions. Background technique [0002] In the whole underwater noise source location system, the array signal processing algorithm is the key technology, and the quality of the algorithm directly determines the performance of the whole system. The current research shows that combining the acoustic focusing array signal processing method with the vector array signal processing method can effectively improve the noise source localization performance. According to the different signal processing methods of the acoustic focusing array, it can be divided into a conventional focusing beamforming algorithm and a high-resolution focusing beamforming algorithm. The basic principle of the conventional focusing algorithm is to calculate the equivalent distribution of the sound field by compensating the phase ...

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Problems solved by technology

Aiming at far-field assumptions, Liu Congfeng and others studied the analysis and solution method of the double-constraint robust Capon beamforming algorithm (Liu Congfeng, Liao Guisheng. Analysis and solution of the double-constraint robust Capon beamforming algorithm. System Engineering and Electronic Technology, 2011, 33( 3): 477-481), this method is obtained by scalarizing the solution of the uncertain set constrained Capon beamforming algorithm to make it satisfy the modulus constraint, not the joint constraint on the steering vector and the covariance matrix of the sampled data At the same time, it cannot be applied to the near-field test conditions of the underwater vector array; under the near-field conditions, Shi Jie et al. studied a noise source robust location identification method based on second-order cone programming (Shi Jie, Yang Desen, Shi Shengguo. II The application of step-cone programming in the robust positioning and identification of noise sources. Journal of Harbin Engineering University, 2011, 32(12): 1549-1555.), but it still uses the modulus constraint method, which can only exert influence on the steering vector error , the error factors considered are limited, and the optimization effect needs to be improved

At present, there is still a lack of a robust focus processor suitable for near-field test conditions of underwater vector arrays that can simultaneously optimize the two main errors of finite sampling effects and steering vector errors

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