Blind weak signal detection via dictionary learning in time-spreading distortion channels using vector sensors.

IF 1.2 Q3 ACOUSTICS
Rami Rashid, Ali Abdi, Zoi-Heleni Michalopoulou
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引用次数: 0

Abstract

This paper presents a blind passive signal detection method for underwater sparse time-spreading distortion (TSD) channels, employing a dictionary learning (DL) algorithm. This approach estimates and separates the unknown signal from the unknown channel impulse response. A log-likelihood ratio detector is derived and utilized for sparse TSD channels. Simulations and underwater experiments with a vector sensor are conducted to evaluate the performance of the proposed DL-based blind passive method and compare it with other approaches. The improved detection probabilities achieved by this blind method demonstrate its effectiveness in the detection of unknown signals within TSD channels.

基于矢量传感器的扩频失真信道字典学习盲弱信号检测。
提出了一种基于字典学习算法的水下稀疏扩频失真信道盲无源信号检测方法。该方法对未知信号和未知信道脉冲响应进行估计和分离。推导了一种对数似然比检测器,并将其用于稀疏的TSD信道。利用矢量传感器进行了仿真和水下实验,对该方法的性能进行了评价,并与其他方法进行了比较。该盲方法提高了检测概率,证明了其对TSD信道内未知信号检测的有效性。
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来源期刊
CiteScore
1.70
自引率
0.00%
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