Title :
Diversity combining with imperfect channel estimation
Author :
You, Roy ; Li, Hong ; Bar-Ness, Yeheskel
Author_Institution :
Electr. & Comput. Eng. Dept., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
The optimal diversity-combining technique is investigated for a multipath Rayleigh fading channel with imperfect channel state information at the receiver. Applying minimum mean-square error channel estimation, the channel state can be decomposed into the channel estimator spanned by channel observation, and the estimation error orthogonal to channel observation. The optimal combining weight is obtained from the first principle of maximum a posteriori detection, taking into consideration the imperfect channel estimation. The bit-error performance using the optimal diversity combining is derived and compared with that of the suboptimal application of maximal ratio combining. Numerical results are presented for specific channel models and estimation methods to illustrate the combined effect of channel estimation and detection on bit-error rate performance.
Keywords :
Rayleigh channels; channel estimation; diversity reception; error statistics; maximum likelihood detection; mean square error methods; multipath channels; bit-error performance; imperfect channel estimation; imperfect channel state information; maximum a posteriori detection; mean-square error channel estimation; multipath Rayleigh fading channel; optimal diversity-combining technique; receiver; Bit error rate; Channel estimation; Channel state information; Diversity reception; Estimation error; Fading; Performance analysis; Rayleigh channels; Signal to noise ratio; State estimation; Diversity combining; Rayleigh fading; imperfect channel estimation;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2005.857156