In this work a simple approach for the joint estimation-detection in a frequency selective severe fading environment of OFDM signals adopting PSK constellations is presented. A linear predictor of suitable order is adopted for the channel estimation in the frequency domain. The predictor coefficients are estimated on the basis of a sample estimation of the autocorrelation of the channel frequency response, aided by a preliminary differential decoding, in a blockwise manner. The detection technique proposed here is based on a simple tree search where a small number of best survivor paths are maintained at each step. Despite the simplicity of above detection approach, the simulation results show its effectiveness when the number of carriers is sufficiently high. Appealing features of this method are that it does not rely on any detailed model of the fading channel and that the channel coefficients are allowed to change independently in correspondence of different blocks of OFDM symbols.
[1]
Yu Ted Su,et al.
Blind and semiblind detections of OFDM signals in fading channels
,
2004,
IEEE Transactions on Communications.
[2]
Petre Stoica,et al.
Introduction to spectral analysis
,
1997
.
[3]
Yu Ted Su,et al.
Model-based channel estimation for OFDM signals in Rayleigh fading
,
2002,
IEEE Trans. Commun..
[4]
Marco Luise,et al.
Blind equalization/detection for OFDM signals over frequency-selective channels
,
1998,
IEEE J. Sel. Areas Commun..
[5]
Per Ola Börjesson,et al.
OFDM channel estimation by singular value decomposition
,
1996,
Proceedings of Vehicular Technology Conference - VTC.