Title :
Robust FIR precoder design with imperfect channel knowledge for broadband MIMO wireless systems
Author :
Guo, Yongfang ; Levy, Bernard C.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
Abstract :
This paper considers a robust FIR precoder design problem for frequency-selective multiple-input multiple-output (MIMO) wireless systems under transmit power constraints with imperfect channel knowledge at the transmitter. The robust design problem requires finding the optimal power constrained FIR precoder for the worst-case channel model within a neighborhood of the estimated channel. The neighborhood is formed by placing a bound on Kullback-Leibler (KL) divergence between the actual and estimated channels. We show that the optimal power constrained FIR precoder designed for the estimated channel under the assumption of perfect channel knowledge is robust when channel uncertainties are measured by the KL divergence "metric".
Keywords :
FIR filters; MIMO systems; broadband networks; channel coding; channel estimation; optimisation; packet radio networks; power control; radio transmitters; KL divergence metric; Kullback-Leibler divergence; MIMO wireless systems; broadband wireless systems; channel uncertainties; estimated channel; frequency-selective systems; imperfect channel knowledge; multiple-input multiple-output systems; optimal power constrained precoder; robust FIR precoder; transmit power constraints; transmitter; worst-case channel model; Delay estimation; Feedback; Finite impulse response filter; Interference constraints; MIMO; Power system modeling; Receiving antennas; Robustness; Transmitters; Transmitting antennas;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326870