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
fDate :
4/1/1990 12:00:00 AM
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;
Journal_Title :
Communications, IEEE Transactions on
