Guo Wei, Piao Shengchun, Guo Junyuan, Lei Yahui, Iqbal Kashif
Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China.
Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China.
Sensors (Basel). 2020 Mar 22;20(6):1767. doi: 10.3390/s20061767.
Passive sonar is widely used for target detection, identification and classification based on the target radiated acoustic signal. Under the influence of Doppler, generated by relative motion between the moving target and the sonar array, the received ship-radiated acoustic signals are non-stationary and time-varying, which has a negative effect on target detection and other fields. In order to reduce the influence of Doppler and improve the performance of target detection, a coherent integration method based on cross-power spectrum is proposed in this paper. It can be concluded that the frequency shift and phase change in the cross-power spectrum obtained by each pair of data segments can be corrected with the compensations of time scale (Doppler) factor and time delay. Moreover, the time scale factor and time delay can be estimated from the amplitude and phase of the original cross-power spectrum, respectively. Therefore, coherent integration can be implemented with the compensated cross-power spectra. Simulation and experimental data processing results show that the proposed method can provide sufficient processing gains and effectively extract the discrete spectra for the detection of moving targets.
被动声纳基于目标辐射的声学信号,广泛应用于目标检测、识别和分类。在由移动目标与声纳阵列之间的相对运动产生的多普勒效应影响下,接收到的船舶辐射声学信号是非平稳且时变的,这对目标检测等领域产生负面影响。为了减少多普勒的影响并提高目标检测性能,本文提出了一种基于互功率谱的相干积累方法。可以得出,通过每对数据段获得的互功率谱中的频移和相位变化,可以通过时间尺度(多普勒)因子和时间延迟的补偿来校正。此外,时间尺度因子和时间延迟可以分别从原始互功率谱的幅度和相位中估计出来。因此,可以用补偿后的互功率谱实现相干积累。仿真和实验数据处理结果表明,该方法能够提供足够的处理增益,并有效地提取离散谱以检测移动目标。