水声单载波频域均衡中复自相关幅相联合的多普勒估计方法
Doppler estimation for underwater acoustic single carrier frequency domain equalization using complex autocorrelation with joint amplitude and phase analysis
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摘要: 针对传统单载波频域均衡系统的多普勒估计方法精度不高或高精度估计所需复杂度太高的问题, 提出了一种基于测速信号复自相关幅度和相位信息的多普勒估计算法。首先利用幅度信息完成多普勒粗估计, 再利用粗估计结果对相位法多普勒估计结果进行解模糊, 从而获得高精度多普勒估计结果。仿真表明所提算法具有较高的多普勒估计精度和较低的计算复杂度。湖试数据分析结果表明, 在通信距离2 km, 比特速率5 kbit/s, 收发速度3 m/s的场景下, 所提方法能够为频域均衡接收机提供高精度多普勒估计结果, 误比特率较传统方法得到了明显改善, 译码后能够实现无误码传输的通信效果。Abstract: In order to solve the problem that the conventional Doppler estimation method of single carrier frequency domain equalization system is not accurate or high complexity is required for high-precision estimation, a Doppler estimation algorithm based on complex autocorrelation amplitude and phase information of velocity measurement signal is proposed in this paper. Firstly, the amplitude information is used to complete the Doppler rough estimation, and the rough estimation results are used to solve the ambiguous problem of the phase method, so as to obtain high-precision Doppler estimation results. Simulation results show that the proposed algorithm has high Doppler estimation accuracy and low computational complexity. The lake test data analysis results show that in the scenario of communication distance of 2 km, bit rate of 5 kbit/s and speed of 3 m/s, the proposed Doppler estimation method is capable of providing high-precision Doppler estimation results and significantly improving the bit error rate performance compared with the conventional methods.