Title :
New recursive formulations of optimal detectors for Rayleigh fading channels
Author :
Castoldi, Piero ; Raheli, Riccardo
Author_Institution :
Dipt. di Ingegneria dell´´Inf., Parma Univ., Italy
Abstract :
We investigate maximum likelihood sequence estimation (MLSE) of data sequences transmitted over time-varying frequency-selective Rayleigh fading channels. We present new recursive formulations for optimal detection in presence of a perfect channel state information (CSI) at the beginning of the data sequence or in complete absence of CSI. We then derive a reduced state-complexity solution based on per-survivor processing (PSP) techniques for both optimal detection schemes. Performance evaluations are also provided. In particular, we show that the optimal detector performance may be practically attained with PSP-based reduced-complexity detectors. Furthermore the considered receivers are shown to approach in several cases the lower bound of an exhaustive sequence search
Keywords :
Rayleigh channels; computational complexity; estimation theory; fading; maximum likelihood detection; maximum likelihood estimation; multipath channels; recursive estimation; time-varying channels; MLSE; Rayleigh fading channels; data sequences; maximum likelihood sequence estimation; optimal detection; optimal detector performance; per-survivor processing techniques; perfect channel state information; performance evaluation; recursive formulations; reduced state-complexity solution; time-varying frequency-selective channels; Channel state information; Detectors; Fading; Filters; Frequency estimation; Maximum likelihood detection; Maximum likelihood estimation; Recursive estimation; Sampling methods; Transmitters;
Conference_Titel :
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Conference_Location :
London
Print_ISBN :
0-7803-3336-5
DOI :
10.1109/GLOCOM.1996.586740