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Appl. Sci. 2018, 8(1), 38; doi:10.3390/app8010038

A Novel Approach for the Estimation of Doubly Spread Acoustic Channels Based on Wavelet Transform

1,* , 1,2,3
,
1,* and 1
1
School of Information Science and Engineering, Southeast University, Nanjing 210096, China
2
School of Electronic and Information Engineering, Qingdao University, Qingdao 266071, China
3
School of Automation and Electrical Engineering, Qingdao University, Qingdao 266071, China
*
Authors to whom correspondence should be addressed.
Received: 29 October 2017 / Revised: 20 December 2017 / Accepted: 20 December 2017 / Published: 1 January 2018
(This article belongs to the Special Issue Underwater Acoustics, Communications and Information Processing)
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Abstract

In this paper, the estimation of doubly spread underwater acoustic (UWA) channels is investigated. The UWA channels are characterized by severe delay spread and significant Doppler effects, and can be well modeled as a multi-scale multi-lag (MSML) channel. Furthermore, exploiting the sparsity of UWA channels, MSML channel estimation can be transformed into the estimation of parameter sets (amplitude, Doppler scale factor, time delay). Based on this, the orthogonal matching pursuit (OMP) algorithm has been widely used. However, the estimation accuracy of OMP depends on the size of the dictionary, which is related with both delay spread and Doppler spread. Thus it requires high computational complexity. This paper proposes a new method, called wavelet transform (WT) based algorithm, for the UWA channel estimation. Different from OMP algorithm which needs to search in both time domain and Doppler domain, WT-based algorithm only needs to search in time domain by using the Doppler invariant characteristic of hyperbolic frequency modulation (HFM) signal. The performance of the proposed algorithm is evaluated by computer simulations based on BELLHOP. The simulation results show that WT-based algorithm performs slightly better than OMP algorithm in low signal to noise ratio (SNR) while can greatly reduce computational complexity. View Full-Text
Keywords: underwater acoustic (UWA) communication; multi-scale multi-lag (MSML) channel; wavelet transform (WT) based algorithm; hyperbolic frequency modulation (HFM) signal underwater acoustic (UWA) communication; multi-scale multi-lag (MSML) channel; wavelet transform (WT) based algorithm; hyperbolic frequency modulation (HFM) signal
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Zhang, X.; Song, K.; Li, C.; Yang, L. A Novel Approach for the Estimation of Doubly Spread Acoustic Channels Based on Wavelet Transform. Appl. Sci. 2018, 8, 38.

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