一种水下多目标方位、频率、距离联合估计新方法

A Novel Joint Estimation Method of Underwater Multi-Target Bearings,Frequencies,and Time-Delays

本文提出了一种可在单次回波内同时完成多目标方位、频率、距离 (时延 )三维参数联合估计的高分辨新方法 ,它借用ESPRIT方法的思路构造两个空间子阵 ,通过对其自相关矩阵和互相关矩阵的广义特征分解 ,用特征值估计多目标方位 ,用特征向量估计多目标回波的频率 ,再用估计得到的频率去修正包络时延向量进而得到目标时延估计 .三维参数的配对由特征向量和特征值的对应关系自动完成 .计算机仿真结果表明 ,该方法在较低的信噪比条件下可以实现三维参数的高分辨联合估计 ,而且无需额外的配对算法 .作者还进行了多目标三维参数联合估计的消声水池实验 ,也取得了较好的结果 ,表明该方法对阵列误差有较好的稳健性 ,具有良好的工程应用前景 .

A new 3-dimensional joint estimation method is presented.With a single echo wave,bearings,frequencies,and time-delays of multiple reflectors are estimated jointly.We construct 2 sub-arrays like ESPRIT,and then make a generalized eigen-decomposition on their auto-correlation matrix and cross-correlation matrix.Bearing parameters can be estimated from eigenvalues,while frequency parameters can be obtained from corresponding eigenvectors.Having modified the time-delay vectors of enveloping with estimated frequencies,we can get the time-delay parameters simultaneously.Computer simulations show that the proposed method can carry out the 3-dimensional joint estimation without additional pairing algorithm in the case of lower SNR.Preferable results are also obtained in water tank experiments,indicating the method is robust for sensor array errors,and showing good potential in applications.