CAJ | 학술논문

针对常规定位方法在空间非均匀高斯噪声背景下近场声源定位性能下降的问题，基于平面阵建立了近场声源信号模型，推导了空间非均匀阵元噪声条件下求解声源方位和距离信息的最大似然定位方法，并使用连续空间蚁群优化算法，解决了该最大似然方法在多维参数空间搜索的高运算复杂度问题，通过仿真实验验证了该方法的可行性和有效性。仿真实验表明，该方法估计精度较高，在低信噪比下方位和距离均方误差都小于常规最大似然方法，并且在高信噪比条件下方位和距离的均方误差都逼近克拉美-罗界。
침대상규정위방법재공간비균균고사조성배경하근장성원정위성능하강적문제，기우평면진건립료근장성원신호모형，추도료공간비균균진원조성조건하구해성원방위화거리신식적최대사연정위방법，병사용련속공간의군우화산법，해결료해최대사연방법재다유삼수공간수색적고운산복잡도문제，통과방진실험험증료해방법적가행성화유효성。방진실험표명，해방법고계정도교고，재저신조비하방위화거리균방오차도소우상규최대사연방법，병차재고신조비조건하방위화거리적균방오차도핍근극랍미-라계。
To solve the problem of the declined performance of conventional maximum likelihood method in loca -ting multiple near-field sources in the context of non-uniform spatial noise , the near-field signal model based on planar sensor array was firstly constructed and then the maximum likelihood localization method was derived in details to ob -tain the values of the azimuth and distance of sound sources .Moreover , the ant colony optimization algorithm for con-tinuous space ( ACOCS) was employed to further reduce the high computational complexity incurred in the multi -dimen-sional search process of the deduced maximum likelihood localization method .Simulations were conducted to validate the feasibility and efficiency of the proposed method .Simulation results showed that the proposed method has a higher estimation accuracy than the conventional maximum likelihood method under the lower mean squared error of both azi -muth estimation and distance estimation , and can approach their respective Cramer-Rao Bound ( CRB) at high signal-to-noise ratio(SNR).