A Novel Parameter Estimation Algorithm for Underwater Acoustic Channels
ZHANG Xing1, CHANG Ying1, SONG Kang2, LI Chun-guo1, YANG Lu-xi1
1. Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, Jiangsu 210096, China;
2. School of Electronic and Information Engineering, Qingdao University, Qingdao, Shandong 266071, China
Abstract：The wideband underwater acoustic multipath channels are usually modeled as a multi-scale multi-lag(MSML)channel.Different paths possess different Doppler scales which brings great challenge to channel parameter estimation.In this paper,we propose a novel algorithm for parameter estimation of MSML channels,which is called modified particle swarm optimization(MPSO)algorithm.This algorithm creates a multi-path list to record positions and fitness values of particles which are local best(lbests),and uses these lbests to update particles' velocities at each iteration.At the end of the algorithm,the Doppler scale,the time delay and the amplitude can be estimated simultaneously for each path according to the multi-path list.Simulation results show that,the MPSO algorithm outperforms both the matching pursuit(MP)algorithm and the fractional Fourier transform(FrFT)algorithm in estimation accuracy.
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2019, Vol. 47 
