On Detection of Moving Weak Targets Using MIMO Continuous Active Sonar and Doppler Filtering

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we propose a moving weak target detection method of utilizing multiple-input multiple-output continuous active sonar (MIMO-CAS) and Doppler filtering. We begin by designing frequency diversity continuous wave (FDCW) pulse signals that have very low cross-correlation coefficients. The number of FDCW pulses is equal to the product of the number of transmitting transducers and the number of detection cycles. Secondly, we transmit these FDCW pulses using MIMO-CAS over multiple cycles with a small periodic interval, projecting a large amount of sound energy into the ocean channel. The energy transmitted by MIMO-CAS is sufficient for detecting weak targets using the energy accumulation method. Next, we process the echoes from the moving target with different Doppler shifts using Doppler filters. For each FDCW pulse, we design a bank of Doppler filters based on the waveform and discrete Doppler shifts of the FDCW pulse. Finally, the Doppler-filtered outputs are accumulated coherently or incoherently in the range Doppler domain. And the high-gain accumulated output is outputted. MIMO-CAS makes full use of the Doppler filtering abilities of the FDCW pulses to suppress the reverberation near-zero Doppler shifts, and simultaneously utilizes the multi-cycle accumulation to suppress noise. Via numerical simulations, we show that MIMO-CAS can improve the detection performance of the weak targets.

源语言英语
主期刊名Sixteenth International Conference on Signal Processing Systems, ICSPS 2024
编辑Robert Minasian, Li Chai
出版商SPIE
ISBN(电子版)9781510689251
DOI
出版状态已出版 - 2025
活动16th International Conference on Signal Processing Systems, ICSPS 2024 - Kunming, 中国
期限: 15 11月 202417 11月 2024

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
13559
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议16th International Conference on Signal Processing Systems, ICSPS 2024
国家/地区中国
Kunming
时期15/11/2417/11/24

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