Title :
A Novel Kalman-MLSD Receiver Over Fast Fading Channel
Author :
Zhou, Hanbing ; Li, Daoben
Author_Institution :
Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun.
Abstract :
A novel adaptive reduced-complexity maximum likelihood sequence detection (MLSD) receiver based on per-survivor processing (PSP) algorithm and decision feedback algorithm (DF) over fast fading mobile channel with BPSK modulation is proposed in this paper. The adaptive channel tracking is implemented by a novel simplified Kalman filter bank with very short pilot tone. Computer simulations show that this receiver is a good trade-off between the performance and complexity on fast fading mobile channels
Keywords :
Kalman filters; automatic repeat request; channel bank filters; computational complexity; fading channels; maximum likelihood detection; mobile radio; phase shift keying; BPSK modulation; Kalman filter bank; Kalman-MLSD receiver; adaptive channel tracking; adaptive reduced-complexity; computer simulations; decision feedback algorithm; fast fading mobile channel; maximum likelihood sequence detection receiver; per-survivor processing; Autoregressive processes; Binary phase shift keying; Bit error rate; Computer simulation; Educational institutions; Fading; Feedback; Low pass filters; Maximum likelihood detection; Viterbi algorithm;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-0517-3
DOI :
10.1109/WiCOM.2006.152
