DocumentCode
1470067
Title
A composite importance sampling technique for digital communication system simulation
Author
Beaulieu, Norman C.
Author_Institution
Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada
Volume
38
Issue
4
fYear
1990
fDate
4/1/1990 12:00:00 AM
Firstpage
393
Lastpage
396
Abstract
A new composite importance sampling technique is presented and investigated. An exact analysis is used to optimize the sample size saving and to investigate its robustness with respect to threshold settings. The composite technique offers a sample size savings of ~2.5 compared to the translation technique of D. Lu and K. Yao (1988) for memoryless systems. Applications as well as some questions for further research are discussed
Keywords
digital communication systems; probability; simulation; composite importance sampling technique; digital communication system simulation; sample size saving; Analytical models; Communication system control; Computational modeling; Control system synthesis; Digital communication; Error analysis; Memoryless systems; Monte Carlo methods; Radar; Robustness;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.52645
Filename
52645
Link To Document