一种基于正交匹配追踪的水下目标相关检测方法

发布时间：2018-05-19 04:12

本文选题：空间相关性 + 正交匹配追踪　；参考：《西北工业大学学报》2017年04期

【摘要】：相关检测是一种常见的水下目标检测方法,其性能易受到空间相关性衰减的影响。针对水下信号空间相关性衰减导致常规相关检测方法性能下降的现象,提出了一种基于正交匹配追踪的水下目标相关检测方法。该方法利用接收信号在字典原子上的稀疏表示特性,利用正交匹配追踪方法从过完备字典原子集合中选取尽可能少的字典原子来恢复接收信号;在恢复过程的同时通过设定阈值保留信号的本质特征并舍去易受环境扰动和噪声影响的小特征成分,起到改善接收信号的空间相关性,提高空间相关性衰减情况下相关检测方法性能的作用。研究表明,稀疏重构可以消除环境扰动和噪声干扰的影响,有效地恢复信号的空间相关特性;该方法检测性能明显优于传统相关检测方法。利用蒙特卡罗实验对所提检测方法的有效性进行仿真验证。
[Abstract]:Correlation detection is a common underwater target detection method, and its performance is easily affected by spatial correlation attenuation. A correlation detection method for underwater targets based on orthogonal matching tracking is proposed to deal with the phenomenon that the performance of conventional correlation detection methods is degraded due to the spatial correlation attenuation of underwater signals. This method utilizes the sparse representation of received signals on dictionary atoms and uses orthogonal matching tracing method to recover received signals by selecting as few dictionary atoms as possible from overcomplete dictionary atomic sets. In the recovery process, the spatial correlation of the received signal is improved by setting a threshold to retain the essential characteristics of the signal and removing the small feature components that are susceptible to environmental disturbances and noise. To improve the performance of correlation detection method under the condition of spatial correlation attenuation. It is shown that sparse reconstruction can eliminate the influence of environmental disturbance and noise interference and recover the spatial correlation characteristics of signal effectively, and the detection performance of this method is obviously better than that of the traditional correlation detection method. Monte Carlo experiment is used to verify the effectiveness of the proposed detection method.
【作者单位】：西北工业大学航海学院;
【基金】：国家自然科学基金(11534009;51479169)资助
【分类号】：TN911.7

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