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Abstract
This letter provides a novel iterative adaptive frequency-domain equalization for time-varying underwater acoustic (UWA) channels. The proposed scheme adopts a modified frequency-domain block least mean square algorithm to update the filter weights. A sliding window strategy is developed to deal with the rapid time-varying characteristics of UWA channels. The proposed method enhances the performance through an iterative structure. Experimental results show that the bit error rates of the proposed method can be one order of magnitude lower than those of conventional schemes.
Highlights
Underwater acoustic (UWA) channels have been considered as one of the most challenging wireless communication channels
Compared with the single-carrier time-domain decision feedback equalizer,4,5 single-carrier frequency-domain equalization method (SC-FDE) uses cyclic prefixes (CP) in the transmitter to formulate circular convolution that can efficiently reduce the computational complexity through fast Fourier transform (FFT) or inverse fast Fourier transform (IFFT)
Zheng et al proposed the SC-FDE without CP scheme,6,7 which apply the inter-block interference (IBI) cancellation and CP reconstruction to eliminate the effect of time-varying channels
Summary
Underwater acoustic (UWA) channels have been considered as one of the most challenging wireless communication channels. Zheng et al proposed the SC-FDE without CP scheme, which apply the inter-block interference (IBI) cancellation and CP reconstruction to eliminate the effect of time-varying channels Adaptive equalization is another efficient technology to deal with the time-varying channels, which has proved its effectiveness in many UWA experiments. The frequency-domain block least mean square (FBLMS) algorithm could implement adaptive equalization in frequency domain with lower computational burden It is widely used in many applications that require a larger filter length, such as acoustic echo cancellation, active noise control, and channel equalization.. Compared with the conventional AFDE scheme, the proposed scheme adopts a modified FBLMS algorithm to overcome the problem of insufficient filter length caused by the long delay spread of UWA a) at: State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China, ORCID: 0000-0002-8390-3787. The effectiveness and performance of the proposed method are tested by experimental data
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