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This paper presents a digital signal processor (DSP) based iterative orthogonal frequency division multiplexing (OFDM) receiver for time-varying underwater acoustic channels. The time-varying channel is modelled by basis expansion model (BEM). To explore the inherent sparsity of underwater acoustic channel, orthogonal matching pursuit (OMP) algorithm is adopted. A fast Fourier transform (FFT) based...
In this paper, a DSP based real-time single carrier underwater acoustic communication system is developed. The designed receiver system operates in frequency domain for low complexity equalization. The turbo principle is incorporated into channel equalization and channel estimation processes to improve the system reliability. The channel is treated as stable within each small block and iteratively...
This paper investigates the time-domain oversampled cyclic-prefix orthogonal frequency division multiplexing (CP-OFDM) system for communication over doubly-selective underwater acoustic channels. Channel estimation is based on two different time-varying channel models. One is the basis expansion model (BEM), the other is the Doppler-rate model (DRM). Exploiting the sparsity of underwater acoustic...
This paper investigates sparse channel estimations to improve the performance of passive-phase conjugation (PPC) communications. PPC processing achieves pulse compression for time delayed arrivals at the receiver. This property is used for underwater communications with a reduced computational load. The channel estimation is required by PPC. In multipath channels, the sparse channel estimations can...
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