DocumentCode
2293783
Title
Locally linearized Markov chain approximate models in signal detection
Author
Lu Pengfie
Author_Institution
Dept. of Electron. Eng., Jiangnan Univ., Wuxi
fYear
1991
fDate
20-24 May 1991
Firstpage
167
Abstract
The author presents a novel method of signal detection based on the locally linearized Markov chain approximate models of the Rayleigh process, the Rician process, and the Gaussian process. Monte Carlo simulation demonstrates that these models are superior in quality and, that the new method of detection is effective
Keywords
Markov processes; Monte Carlo methods; signal detection; Gaussian process; Monte Carlo simulation; Rayleigh process; Rician process; locally linearized Markov chain approximate models; signal detection; Detectors; Differential equations; Diffusion processes; Frequency shift keying; Gaussian processes; Linear approximation; Narrowband; Rician channels; Signal detection; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1991. NAECON 1991., Proceedings of the IEEE 1991 National
Conference_Location
Dayton, OH
Print_ISBN
0-7803-0085-8
Type
conf
DOI
10.1109/NAECON.1991.165741
Filename
165741
Link To Document