A Tolerant Detection Method for Estimating Robust Signal Subspace with Horizontal Arrays in Uncertain Shallow Ocean Environment

不确定浅海环境中基于水平阵稳健子空间估计的宽容检测方法

¹ School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China
² Science and Technology on Electronic Control Laboratory, Chengdu 610036, China

Received: 16 March 2020

Abstract

The environmental parameters are usually uncertain in complex shallow ocean environment and restrict the performance of the matching model-like method. Therefore, we need a more tolerant detection method for detecting underwater targets in the uncertain shallow ocean environment. The previous mode-subspace detection method has the characteristics of both high performance and robustness. However, the robust mode-subspace detector is suitable for vertical arrays and its performance is limited by shallow ocean environment. Therefore, we propose the tolerant detection method for estimating the robust signal subspace with horizontal arrays. We estimate the robust signal subspace by bringing uncertain parameters into the observation matrix of a horizontal array. Combined with the robust signal subspace estimation, we propose a subspace detector that tolerates uncertain parameters. The results on simulation in a uncertain shallow ocean environment show that the detector we proposed has a high average detection capability and a certain tolerance for uncertain parameters.

摘要

环境参数在复杂浅海环境中通常是不确定的，从而制约了匹配模型类高性能方法的检测性能。对于水下目标检测问题，需要更宽容的检测方法。在以往的研究中，稳健模态子空间检测方法具有兼顾高性能和稳健性的特点，但该检测器适用于垂直阵，性能受浅海深度的限制，因此考虑适用于水平阵的宽容检测方法。子空间检测方法是一类具有一定稳健性的检测方法，其性能取决于信号子空间的估计。通过不确定波数重采样的方式将不确定环境和未知目标位置参数引入水平阵信息观测矩阵，得到了不确定环境中信号子空间的稳健估计方法。结合信号子空间的稳健估计提出了一种对不确定参数具有宽容性的子空间检测器，通过浅海不确定环境中的仿真检验，证明该检测器具有较高的平均检测能力同时对不确定参数有一定的宽容性。