Design of Robust Detector with Noise Variance Estimation Censoring Input Signals over AWGN

  • Lee, Hyeon-Cheol (Smart UAV Development Center, Korea Aerospace Research Institute) ;
  • Halverson, Don R. (Department of Electrical and Computer Engineering, Texas A&M University)
  • Received : 2006.01.18
  • Published : 2007.02.28


As an alternative to the classic linear detector which only assumes noise variance, a new robust detector with noise variance estimation censoring input signals over AWGN is proposed. The results demonstrate that analytic detection probability matches the simulation results for the linear detector and that the new robust detector shows better performance than the linear detector when the number of samples increases.


Supported by : Ministry of Commerce