Zhao Zhishan, Zhao Anbang, Hui Juan, Hou Baochun, Sotudeh Reza, Niu Fang
Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China.
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China.
Sensors (Basel). 2017 Jul 4;17(7):1565. doi: 10.3390/s17071565.
The most classical detector of active sonar and radar is the matched filter (MF), which is the optimal processor under ideal conditions. Aiming at the problem of active sonar detection, we propose a frequency-domain adaptive matched filter (FDAMF) with the use of a frequency-domain adaptive line enhancer (ALE). The FDAMF is an improved MF. In the simulations in this paper, the signal to noise ratio (SNR) gain of the FDAMF is about 18.6 dB higher than that of the classical MF when the input SNR is -10 dB. In order to improve the performance of the FDAMF with a low input SNR, we propose a pre-processing method, which is called frequency-domain time reversal convolution and interference suppression (TRC-IS). Compared with the classical MF, the FDAMF combined with the TRC-IS method obtains higher SNR gain, a lower detection threshold, and a better receiver operating characteristic (ROC) in the simulations in this paper. The simulation results show that the FDAMF has higher processing gain and better detection performance than the classical MF under ideal conditions. The experimental results indicate that the FDAMF does improve the performance of the MF, and can adapt to actual interference in a way. In addition, the TRC-IS preprocessing method works well in an actual noisy ocean environment.
主动声纳和雷达最经典的检测器是匹配滤波器（MF），它是理想条件下的最优处理器。针对主动声纳检测问题，我们利用频域自适应线谱增强器（ALE）提出了一种频域自适应匹配滤波器（FDAMF）。FDAMF是对MF的一种改进。在本文的仿真中，当输入信噪比为-10 dB时，FDAMF的信噪比增益比经典MF高约18.6 dB。为了提高低输入信噪比下FDAMF的性能，我们提出了一种预处理方法，称为频域时间反转卷积与干扰抑制（TRC-IS）。在本文的仿真中，与经典MF相比，结合TRC-IS方法的FDAMF获得了更高的信噪比增益、更低的检测阈值和更好的接收机工作特性（ROC）。仿真结果表明，在理想条件下，FDAMF比经典MF具有更高的处理增益和更好的检测性能。实验结果表明，FDAMF确实提高了MF的性能，并且在一定程度上能够适应实际干扰。此外，TRC-IS预处理方法在实际嘈杂的海洋环境中效果良好。
