Title :
Hybrid Monte Carlo — Recursive identification algorithms for blind detection over a Rayleigh fading channel
Author :
Kotecha, Jayesh H. ; Djuric, Petar M.
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York at Stony Brook, Stony Brook, NY, USA
Abstract :
A joint detection and adaptive estimation scheme is presented for a Rayleigh fading channel. The channel is modeled as an autoregressive process and the communication system is modeled as a dynamic state space model. A new filtering method called hybrid Monte Carlo-recursive identification is used, which combines sampling based filters with classical recursive identification methods to estimate the transmitted symbol sequence and the channel fading.
Keywords :
Monte Carlo methods; Rayleigh channels; adaptive estimation; adaptive signal detection; autoregressive processes; channel estimation; filtering theory; recursive estimation; signal sampling; Rayleigh fading channel; autoregressive process; blind detection; communication system; dynamic state space model; filtering method; hybrid Monte Carlo-recursive identification algorithms; joint detection-adaptive estimation scheme; sampling based filters; symbol sequence; Bit error rate; Detectors; Rayleigh channels; Signal to noise ratio;
Conference_Titel :
Signal Processing Conference, 2000 10th European
Print_ISBN :
978-952-1504-43-3
