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AN IMPROVED DIRECTION OF ARRIVAL ESTIMATION METHOD FOR UNDERWATER TARGETS

机译:水下目标到达估计方法的改进方向

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摘要

Recent technology advances have shown that compressive sensing (CS) has excellent performance in the direction of arrival (DOA) estimation when the size of data sets is sufficiently less. Nevertheless, when the targets are in the underwater, it is difficult to obtain accurate DOA estimation due to multipath interference which destroy the channel scarcity. Therefore, while aiming for using multipath interference in the underwater, an improved DOA estimation method for underwater targets is proposed. In this paper, the time reversal (TR) theory is introduced into the DOA estimation based on CS. The received signal of sonar sensors is transmitted to the sea again after being time-reversed. The simulation results show that the proposed algorithm TRCS suppresses the clutter caused by multipath distortion and improves the DOA estimation performance in underwater environment significantly.
机译:最近的技术进步表明,当数据集的大小足够小时,压缩感知(CS)在到达方向(DOA)估计方面具有出色的性能。然而,当目标在水下时,由于多径干扰会破坏信道的稀缺性,因此难以获得准确的DOA估计值。因此,在针对水下多径干扰的同时,提出了一种改进的水下目标DOA估计方法。本文将时间反演理论引入基于CS的DOA估计中。声纳传感器的接收信号在经过时间反转后再次发送到海中。仿真结果表明,所提出的算法TRCS可以有效地抑制多径畸变引起的杂波,提高水下环境DOA估计性能。

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