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Multipath channels often exhibit sparse structures in the multiple-input single-output orthogonal frequency division multiplexing (MISO-OFDM) systems. Conventional linear channel estimation methods, such as least squares (LS), are based on the implicit assumption of rich multipath which results in low spectral efficiency. In this paper, exploiting the channel sparsity, we propose a novel sparse channel...
Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) is the promising technology for next generation communication systems due to high throughput. Due to the coherent receiving and demodulation at the receiver, accurate channel state information (CSI) is indispensable. Conventional rich assumption-based channel estimators have been proposed at the cost of enough training...
The leakage of channel impulse response (CIR) in the time domain channel estimation for a practical OFDM system is analyzed. A novel channel estimation algorithm is proposed, using the polynomial cancellation coding (PCC) training symbols and the frequency domain windowing to reduce the effect of CIR leakage. Comparison has been done between the proposed algorithm and the existing time domain channel...
A MIMO-PCC-OFDM system is proposed for high-speed transmission. Polynomial cancellation coding orthogonal frequency division multiplexing (PCC-OFDM) technique is used in the space division multiplexing (SDM) system with multiple-input multiple-output (MIMO). MIMO-PCC-OFDM inherits the characteristics of PCC-OFDM: reducing the sensitivity to carrier frequency offset and Doppler spread, having lower...
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