Based On Matrix Volume Target Bearing Estimation Research

Underwater target positioning has always been an important component part of the underwater acoustic detection,both in military area and in civil area is of great significance.As the miniaturization of underwater target,the attenuation performance enhancements,forcing sonar detection to develop in the direction of low frequency,it's need to increase the array aperture sonar system.This paper will with extensible blast volume type and formation as the main research,it has the omni-directional fuzzy features,spatial orientation of isotropic and homogeneous linear array incomparable advantages.This article will from the beamforming,restrain interference,super resolution estimation and compression perception of azimuth estimation algorithm based on matrix volume performance system research,and puts forward a suppress interference beamforming algorithm based on compressed sensing theory.The specific content of this paper is as follows:First of all,in this paper,the volume array made a simple overview,and discusses the common target localization algorithm of research history and current situation of the development.Secondly,studied the basic knowledge of the array signal processing,including the commonly used signal processing model,the statistical features of array,etc.Then,based on volume array model gives the beamforming algorithm and simulation analysis in engineering practice,can inhibit the interference of the diagonal loading is given the simulation analysis of adaptive beamforming algorithm and steps,in order to reduce the computational burden of the beamforming algorithm introduces the quadratic interpolation than amplitude method,and the error compensation formula was given.Combined with the experimental data,the use of conventional beamforming algorithm,adaptive diagonal loading beamforming algorithm of target azimuth estimation.Fourth,in order to improve the algorithm of angular resolution,this paper presents a uniform circular array is converted into a virtual uniform linear array pattern space transform method.Coherent combining with the existing solution algorithms,based on uniform circular column of a coherent and incoherent signal subspace algorithm simulation analysis was made on resolving power,analyzes the virtual uniform linear array and real differences in uniform linear array.Finally,combined with compressed sensing theory,the Orthogonal Matching Pursuit(Orthogonal Matching Pursuit,OMP)algorithm and subspace algorithm is compared through the pattern space transform,the comparison of the OMP algorithm applied on uniform circular array of some of the advantages and disadvantages.And puts forward a beamforming algorithm based on theOMP algorithm to remove interference,mainly considering the in practical applications,the real goal expectation direction is often unknown,which makes the diagonal loading the use of adaptive beamforming is affected by some,and use OMP beamforming algorithm to reduce the interference does not predict goal expectation direction,just need to predict the interference information can meet the target azimuth estimation.Through the simulation analysis,the OMP remove interference of conventional beamforming algorithm compared with diagonal loading adaptive beamforming algorithm,combined with the simulation and the experimental data of actual target azimuth estimation of completion.