Title :
Channel Impulse Response Tap Prediction for Time-Varying Wireless Channels
Author :
Akhtman, J. ; Hanzo, L.
Author_Institution :
Southampton Univ., Southampton
Abstract :
In this paper, we perform a comparative study of both the achievable performance and the associated computational complexity of two major time-domain prediction strategies proposed for employment in wireless mobile communication systems. Specifically, we investigate the intrinsic design tradeoffs of the so-called stationary robust predictor and the adaptive recursive-least-squares (RLS) predictor. We demonstrate that the RLS predictor outperforms its robust counterpart at a cost of slightly higher computational complexity, and hence, the RLS predictor constitutes a better alternative for employment in wireless transceivers.
Keywords :
channel estimation; least squares approximations; mobile communication; prediction theory; time-varying channels; transceivers; wireless channels; adaptive recursive-least-squares predictor; channel impulse response tap prediction; computational complexity; intrinsic design tradeoffs; stationary robust predictor; time-domain prediction strategies; time-varying wireless channels; wireless mobile communication systems; wireless transceivers; Computational complexity; Employment; Fading; Filters; Mean square error methods; Narrowband; OFDM; Resonance light scattering; Robustness; Transceivers; Channel prediction of time-varying channels; minimum mean square error (MMSE) channel prediction; orthogonal-frequency-division-multiplexing (OFDM); recursive least squares;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2007.900395