时间反转:使用阵列信号处理的M-ARY目标分类算法

F. Foroozan, A. Asif
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引用次数: 7

摘要

针对水声目标探测应用,提出了一种单对收发换能器单元的m -时间反转最大似然分类器。本文考虑了一种由p元发射阵列和N元接收阵列组成的更一般的TR装置,并推导了电磁通信环境中多元情况下的m -元常规分类器和TR分类器。我们表明,与传统分类器相比,TR算法在低信噪比下提供了超过3 dB的分类增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time reversal: Algorithms for M-ARY target classification using array signal processing
An M-ary time reversal (TR) maximum likelihood classifier for a single pair of transmitting and receiving transducer element was derived in for underwater acoustic target detection applications. This paper considers a more general TR setup consisting of a P-element transmitting array and an N element receiving array and derives the M-ary conventional and TR classifiers for the multielement case in an electromagnetic communication environment. We show that the TR algorithm provides a classification gain of over 3 dB at low signal to noise ratios as compared to the conventional classifiers.
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