Xiao Dawei, Zhu Qin, Zhang Jingzhuo, Xie Taotao, Ji Qing
Naval University of Engineering, Wuhan 430033, China.
Sensors (Basel). 2025 Jul 3;25(13):4155. doi: 10.3390/s25134155.
Ship seismic wave signals represent one of the most critical physical field characteristics of vessels. To achieve the high-precision detection of ship seismic wave field signals in marine environments, an underwater seismic wave signal detection system was designed. The system adopts a three-stage architecture consisting of watertight instrument housing, a communication circuit, and a buoy to realize high-capacity real-time data transmissions. The host computer performs the collaborative optimization of multi-modal hardware architecture and adaptive signal processing algorithms, enabling the detection of ship targets in oceanic environments. Through verification in a water tank and sea trials, the system successfully measured seismic wave signals. An improved ALE-LOFAR (Adaptive Line Enhancer-Low-Frequency Analysis) joint framework, combined with DEMON (Demodulation of Envelope Modulation) demodulation technology, was proposed to conduct the spectral feature analysis of ship seismic wave signals, yielding the low-frequency signal characteristics of vessels. This scheme provides an important method for the covert monitoring of shallow-sea targets, providing early warnings of illegal fishing and ensuring underwater security.
舰船地震波信号是舰船最重要的物理场特征之一。为实现海洋环境中舰船地震波场信号的高精度探测,设计了一种水下地震波信号探测系统。该系统采用由水密仪器外壳、通信电路和浮标组成的三级架构,以实现大容量实时数据传输。主机对多模态硬件架构和自适应信号处理算法进行协同优化,从而能够探测海洋环境中的舰船目标。通过水箱验证和海上试验,该系统成功测量了地震波信号。提出了一种改进的ALE-LOFAR(自适应线增强器-低频分析)联合框架,并结合DEMON(包络调制解调)解调技术,对舰船地震波信号进行频谱特征分析,得出舰船的低频信号特征。该方案为浅海目标的隐蔽监测提供了一种重要方法,可为非法捕捞提供预警并确保水下安全。