Title :
BER simulation of digital communication systems with intersymbol interference and non-Gaussian noise using improved importance sampling
Author :
Lu, Dingqing ; Baprawski, J. ; Yao, Kai
Author_Institution :
EEsof Inc., Westlake Village, CA, USA
Abstract :
The authors present an efficient and robust solution to the problem of simulating the bit error rate (BER) performance of digital communication systems with intersymbol interference and nonGaussian noise. BER simulation results are shown for the conventional importance sampling (CIS) and improved importance sampling (IIS) techniques. In each case a bounding technique was applied to ensure that the BER estimates simulated were obtained with a specified estimate variance. The simulation improvement ratio over a direct Monte Carlo approach was derived and showed that the IIS technique gives a constant improvement for any size of system memory length. The CIS technique was shown to have a detrimental dimensionality effect, such that its effectiveness decreases as the system memory length increases
Keywords :
digital communication systems; error statistics; intersymbol interference; noise; BER simulation; bit error rate; bounding technique; conventional importance sampling; digital communication systems; estimate variance; improved importance sampling; intersymbol interference; nonGaussian noise; system memory length; Bit error rate; Computational Intelligence Society; Digital communication; Intersymbol interference; Monte Carlo methods; Random access memory; Sampling methods;
Conference_Titel :
Military Communications Conference, 1991. MILCOM '91, Conference Record, Military Communications in a Changing World., IEEE
Conference_Location :
McLean, VA
Print_ISBN :
0-87942-691-8
DOI :
10.1109/MILCOM.1991.258253