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Time domain synchronous orthogonal frequency division multiplexing OFDM (TDS-OFDM) has a higher spectral efficiency and faster synchronization than standard cyclic prefix OFDM, but suffers from the performance loss over multipath fading channels due to severe interblock-interference. Recently, compressive sensing (CS) is explored to solve those problems, but it heavily relies on the sparsity level...
Recently, compressive sensing (CS) is applied to time domain synchronous OFDM (TDS-OFDM), which has higher spectral efficiency and faster synchronization than standard cyclic prefix OFDM (CP-OFDM), to improve the performance over multi-path fading channels. The performance heavily relies on the sparsity level of the channel, which is unknown in practise. In this paper, a signal-to-noise ratio (SNR)...
Recently, compressive sensing (CS) methods have been considered to improve the accuracy of channel estimation. Since the accurate estimation of the channel relies on the size of the observations, the fixed size of the observations is usually the trade-off between the channel estimation accuracy and the length of the channel delay to handle. In this paper, an adaptive compressive sensing (A-CS) algorithm...
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