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
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