Journal of Applied Sciences ›› 2010, Vol. 28 ›› Issue (3): 261-265.

• Signal and Information Processing • Previous Articles     Next Articles

Using Nonlinear Detector to Improve Detection of Multiple Signals in Generalized Gaussian Noise

WANG You-guo, LIU Hong-wei   

  1. College of Science, Nanjing University of Posts and Telecommunications, Nanjing 210046, China
  • Received:2009-11-11 Revised:2010-01-13 Online:2010-05-21 Published:2010-05-21

Abstract:

Based on the maximum a posteriori probability criterion, performance of a parallel nonlinear detector is compared with that of the optimal parallel linear detector for detection of multiple signals in generalized Gaussian noise. Performance of the parallel nonlinear detector is close to that of the optimal parallel linear detector in Gaussian noise. For generalized Gaussian noise, however, the parallel nonlinear detector has better performance, especially when the noise values are concentrated around zero.

Key words: detection of multiple signals, generalized Gaussian noise, linear detector, nonlinear detector

CLC Number: