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利用频域β-warping变换的浅海修正纯方位目标运动分析方法

A modified bearings-only target motion analysis method based on frequency β-warping transform in shallow water

  • 摘要: 针对纯方位目标运动分析方法收敛时间较长的问题,提出了一种利用频域β-warping变换的浅海修正纯方位目标运动分析方法.该方法利用频域β-warping变换从声强干涉结构中提取与目标距离成线性关系的时延,进而估计距离特征量,并利用距离特征量推导得到的目标状态向量的线性约束修正纯方位扩展卡尔曼滤波算法。数值仿真结果表明,对于浅海匀速直线运动目标,在信噪比不低于8 dB的情况下,与常规纯方位扩展卡尔曼滤波算法相比,改进算法将距离估计的收敛时间由26.5 min缩短至11.5 min.在浅海水平不变波导远场条件下,该方法可以快速稳定地估计距离特征量,并能够对目标进行可靠地跟踪定位。

     

    Abstract: Aiming at the problem that the convergence time of the bearings-only target motion analysis method is long,a modified bearings-only target motion analysis method based on frequency β-warping transform in shallow water is proposed.This method extracts the time delay which is proportional to the target range from the acoustic interference structure using the frequencyβ-warping transform in order to estimate the distance characteristic,and then modifies the bearings-only extended Kalman filter using the linear constraint of state vector derived from the distance characteristic.The numerical simulation results show that,when the signal-to-noise ratio is no less than 8 dB,compared with the conventional bearings-only extended Kalman filter algorithm,the improved algorithm shortens the convergence time of range from 26.5 min to 11.5 min for the target with a uniform speed in a straight line.In a range-independent shallow water waveguide,this method can estimate the distance characteristic quickly and stably,track the target reliably.

     

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