Abstract
Communication over doubly selective channels (both time and frequency selective) suffers from significant intercarrier interference (ICI). This problem is severe in underwater acoustic communications. In this paper, a novel partial fractional (PFrFT)-MIMO-OFDM system is proposed and implemented to further mitigate ICI. A new iterative band minimum mean square error (BMMSE) weight combining based on LDLH factorization is used in a scenario of perfect knowledge of channel information. The proposed method is extended from SISO-OFDM configuration to MIMO-OFDM. Simulation results demonstrate that the proposed PFrFT-LDLH outperforms the other methods in the SISO-OFDM scenario and that its performance can be improved in MIMO-OFDM scenarios.
Highlights
Underwater acoustic communication (UWA) suffers from significant time delays reaching fractions of seconds as well as severe Doppler spread attributed to relative motion between the transmitter and receiver
Simulation results demonstrate that the proposed partial fractional Fourier transform (PFrFT)-LDLH outperforms the other methods in the SISO-Orthogonal frequency division multiplexing (OFDM) scenario and that its performance can be improved in multiple-input and multiple output (MIMO)-OFDM scenarios
Fourier (PFrFT) based on SISO-OFDM scenario was proposed in [13], with a band minimum mean square error (BMMSE) weight combining equalizer based on least square MINRES
Summary
Underwater acoustic communication (UWA) suffers from significant time delays reaching fractions of seconds as well as severe Doppler spread attributed to relative motion between the transmitter and receiver. Fourier (PFrFT) based on SISO-OFDM scenario was proposed in [13], with a band minimum mean square error (BMMSE) weight combining equalizer based on least square MINRES (LSMR) iterative algorithm. In [14], the conventional FFT demodulation in the OFDM was replaced by the fractional Fourier transform (FrFT), which transforms the signal into an intermediate domain between time and frequency. A novel method called MIMO-partial fractional Fourier transform (PFrFT). A doubly selective UWA channel scenario is considered, extracting simulated results and showing the superior performance of the PFrFT approach compared with conventional. Fourier (PFrFT) demodulation, and a low complexity ICI equalization based on LDLH algorithm.
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