基于子空间约束的稳健匹配场定位

提出了一种新的基于拷贝场噪声子空间扰动约束的稳健匹配场定位方案。在每个搜索位置处,随机扰动环境参数以生成拷贝场协方差矩阵,通过特征值分解得到拷贝场信号子空间与拷贝场噪声子空间,用于约束的子空间由拷贝场噪声子空间张成。对实测数据协方差阵进行同样处理,但选择其最大特征值对应的特征向量作为真实的信号向量,与约束子空间形成定位模糊表面。使用仿真与实验数据验证了算法,结果表明算法同时具有高分辨与稳健的特性。

Robust Matched Field Localization Based on Replica Field Noise Subspace Perturbation Constraints

Based on replica field noise subspace perturbation constraints,a matched field localization algorithm in the presence of environmental uncertainties is presented.First,the environmental parameters are randomly sampled and the replica field vectors are computed for each search grid.Then,a replica field covariance matrix is formed with these replica field vectors.By decomposing the replica field covariance matrix and selecting eigenvectors corresponding to relatively small eigenvalues,a constraint matrix is o...