DocumentCode :
1607433
Title :
Multipath detection of stochastic transient processes
Author :
Garcia, Francisco M ; Lourtie, Isabel M G
Author_Institution :
ISR-Instituto de Sistemas e Robotica, Instituto Superior Tecnico, Lisbon, Portugal
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
178
Lastpage :
181
Abstract :
This paper reports on the detection of Gaussian stochastic transients in multipath environments described by random parameters. The solutions developed herein correspond to quadratic processors, with low computational cost and robust to changes in the statistical models of the channel. As a consequence, only a small amount of a-priori information is necessary to derive the parameters of the processor. A recursive form of the processor is also proposed, allowing for the recursive detection of the signal replicas arriving at the receiver
Keywords :
Gaussian processes; multipath channels; signal detection; statistical analysis; transient analysis; Gaussian stochastic transients; low computational cost; multipath detection; quadratic processors; random parameters; recursive detection; recursive form; sequential detection; signal detection; signal replicas; statistical models; stochastic transient processes; Computational efficiency; Delay effects; Delay estimation; Performance evaluation; Robustness; Signal detection; Signal processing; Signal to noise ratio; Stochastic processes; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
Type :
conf
DOI :
10.1109/SSP.2001.955251
Filename :
955251
Link To Document :
بازگشت