Title :
MAP-PSP for Space-Time Trellis Codes Over Unknown Doppler Channels
Author :
Vilaipornsawai, Usa ; Leib, Harry
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC
Abstract :
This work considers joint channel estimation and data detection of space-time trellis codes (STTCs) over time-varying flat fading channels with unknown normalized Doppler shift, f dT. An algorithm based on an improved per survivor processing (PSP) technique, where the survivor branch decision is formulated in the symbol by symbol maximum a posteriori probability (MAP) framework, is presented. An adaptive Kalman predictor (AKP) is employed to track the fading channel and f dT. In the AKP, the sequence of channel estimates produced by the Kalman predictor (KP) is utilized for f dT estimation. In turn, the estimated f dT is used in the KP for channel tracking. This coupled process adaptively estimates both the channel coefficients and Doppler shift. The performance of STTC using the proposed receiver is robust against f dT mismatch, and it is within 0.3 dB from the known f dT case.
Keywords :
Doppler shift; adaptive Kalman filters; channel estimation; fading channels; maximum likelihood estimation; space-time codes; trellis codes; Doppler channel; Doppler shift; adaptive Kalman predictor; channel estimation; channel tracking; data detection; maximum a posteriori probability; per survivor processing; space-time trellis code; time-varying flat fading channel; Channel estimation; Convolutional codes; Doppler shift; Fading; Kalman filters; MIMO; Recursive estimation; Space technology; State estimation; State-space methods;
Conference_Titel :
Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0062-7
Electronic_ISBN :
1-4244-0063-5
DOI :
10.1109/VTCF.2006.310
