DocumentCode :
1563071
Title :
Blind Detection in VWDK Systems via Sequential Monte Carlo
Author :
Man, Feng ; Lenan, Wu ; Fufeng, Wei
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing
Volume :
1
fYear :
2005
Firstpage :
100
Lastpage :
104
Abstract :
Recently, a novel ultra narrow-band modulation scheme named very-minimum waveform keying (VWDK) was presented which can result in higher bandwidth efficiency. In this paper, we provide a novel sequential estimation and detection approach for VWDK system. The basic idea is to design a probabilistic approximation method for the computation of the maximum a posterior distribution via sequential Monte Carlo methods (SMC). The SMC method has two advantages over the other methods in that it is a blind method and can be computed in parallel. Furthermore, the SMC has characteristics of soft-input and soft-output in nature. Finally, the performance of the proposed SMC receiver is demonstrated through computer simulations for the VWDK systems over slow flat-fading channel
Keywords :
Monte Carlo methods; approximation theory; fading channels; maximum likelihood estimation; modulation; VWDK systems; blind detection; flat-fading channel; maximum a posterior distribution; probabilistic approximation method; sequential Monte Carlo methods; ultra narrow-band modulation; very-minimum waveform keying; Approximation methods; Bandwidth; Bayesian methods; Distributed computing; Frequency; Gaussian noise; Logic; Monte Carlo methods; Narrowband; Sliding mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
Type :
conf
DOI :
10.1109/ICNNB.2005.1614576
Filename :
1614576
Link To Document :
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