Qiao Gang, Zhao Yunjiang, Liu Songzuo, Ahmed Niaz
Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin, 150001, China.
J Acoust Soc Am. 2019 Aug;146(2):998. doi: 10.1121/1.5119263.
An optimized Doppler scale factor estimation method based on wavelet de-noising is proposed in this paper to improve the performance of frequency-hopped binary frequency-shift keying mobile underwater acoustic communication. The method is with regard to the Doppler scale factors of multiple symbols as a whole and focuses on the continuous variation overall trends, rather than the association between two adjacent symbols. The proposed method was demonstrated in a shallow water experiment conducted in November 2018 at Songhua River in Heilongjiang, China. Experimental data collected showed a bit error rate less than 10 with a data rate of 65.41 bps at a moving speed of 2.0-6.2 m/s over the horizontal range of 0.68-1.6 km.
本文提出了一种基于小波去噪的优化多普勒比例因子估计方法，以提高跳频二进制频移键控移动水声通信的性能。该方法将多个符号的多普勒比例因子作为一个整体来考虑，关注的是整体的连续变化趋势，而非两个相邻符号之间的关联。所提方法在2018年11月于中国黑龙江松花江进行的浅水实验中得到了验证。收集的实验数据表明，在水平距离0.68 - 1.6千米、移动速度2.0 - 6.2米/秒的情况下，数据速率为65.41比特每秒时误码率小于10。
