Title :
Multiparametric importance sampling for simulation of radar systems
Author :
Grajal, JesÚs ; Asensio, Alberto
Author_Institution :
ETSI Telecomunicacion, Univ. Politecnica de Madrid, Spain
fDate :
1/1/1999 12:00:00 AM
Abstract :
The performances of the importance sampling (IS) techniques are improved by using multiparametric distortions of the input random processes. The analysis of different constant false-alarm rate (CFAR) algorithms confirms the usefulness of this method. The potential of this new approach is fully exploited if optimization techniques are used to obtain the optimum distortions and to avoid bias in the estimates
Keywords :
importance sampling; optimisation; radar detection; radar theory; simulation; CFAR algorithms; bias origin; cell-averaging CFAR; effective decision region; input random processes; mean square values; multiparametric distortions; multiparametric importance sampling; numerical bias; objective functions; optimization techniques; optimum distortions; radar detection; radar systems simulation; Central Processing Unit; Computational Intelligence Society; Computational modeling; Digital communication; Monte Carlo methods; Probability; Radar applications; Random processes; Random variables; Sampling methods;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
