Title :
A synchronized per-survivor MLSD receiver using differential Kalman filter
Author :
Rabiei, A.M. ; Gazor, S. ; Pasupathy, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, Ont., Canada
Abstract :
This paper presents a maximum likelihood sequence detection (MLSD) receiver which performs joint data detection, channel equalization and synchronization over a fast frequency-selective Rayleigh fading channel. An optimal per-survivor processing (PSP) technique is employed which is a combination of statistical channel modeling and differential Kalman filter. It is shown that by incorporating the synchronization parameters into the channel impulse response and modification of the resulting state space model by a differential approach, frequency synchronization can be achieved by a simple adaptive algorithm in addition to data detection and channel estimation. It is also shown that by applying the so called approach, the differential Kalman filter could be simplified to a simple LMS estimator without any considerable lack in performance
Keywords :
Kalman filters; Rayleigh channels; equalisers; filtering theory; least mean squares methods; maximum likelihood detection; receivers; synchronisation; transient response; LMS estimator; adaptive algorithm; channel equalization; channel estimation; channel impulse response; data detection; differential Kalman filter; fast frequency-selective Rayleigh fading channel; frequency synchronization; joint data detection; maximum likelihood sequence detection; optimal per-survivor processing; state space model modification; statistical channel modeling; synchronization; synchronization parameters; synchronized per-survivor MLSD receiver; AWGN; Data engineering; Fading; Frequency synchronization; Kalman filters; Least squares approximation; Maximum likelihood detection; Maximum likelihood estimation; Pulse modulation; State-space methods;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861036