Title :
Joint blind and semi-blind detection and channel estimation for space-time trellis coded systems
Author :
Piechocki, Robert J. ; Andrieu, Christophe ; Nix, Andrew R. ; McGeehan, Joe P.
Author_Institution :
Centre for Commun. Res., Bristol Univ., UK
Abstract :
The paper considers a multiple-input multiple-output (MIMO) communication system, which uses space-time trellis coding (STTC). A novel method of decoding STTC without a need to transmit training sequences is developed. The technique uses only a single channel estimate to acquire a complete set of the channels´ estimates while performing STTC detection. The method is akin to blind trellis search techniques (per-survivor processing - PSP) and adaptive Viterbi. Our solution consists of the deployment of a bank of Kalman filters. The bank of Kalman filters is coupled with Viterbi type decoders, which produce tentative decisions based on Kalman channel predictions. In return, the Kalman filters use the tentative decisions to update and track the MIMO channels corresponding to a number of tracked hypotheses. The proposed technique is particularly applicable to space-time systems operating in rapidly fading environments, where STTC can be decoded and MIMO channels efficiently tracked without relying on periodic pilot sequences.
Keywords :
Kalman filters; MIMO systems; Viterbi decoding; Viterbi detection; adaptive decoding; adaptive estimation; adaptive signal detection; channel bank filters; channel estimation; fading channels; maximum likelihood estimation; multipath channels; search problems; space-time codes; tracking filters; trellis codes; Kalman channel predictions; Kalman filter bank; MIMO communication system; STTC; Viterbi decoders; adaptive Viterbi detection; adaptive Viterbi estimation; blind detection; blind trellis search techniques; channel estimation; filter tracking; multipath propagation; multiple-input multiple-output communication system; per-survivor processing; periodic pilot sequences; rapid fading; semiblind detection; space-time codes; space-time trellis codes; Bayesian methods; Channel estimation; Fading; Least squares approximation; MIMO; Maximum likelihood decoding; Maximum likelihood estimation; Recursive estimation; Sliding mode control; Viterbi algorithm;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1202651