J4 ›› 2009, Vol. 36 ›› Issue (4): 583-589.

• Original Articles • Previous Articles     Next Articles

Robust generalized inner products algorithm using diagonal loading

LIU Cong-feng;LIAO Gui-sheng   

  1. (Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2008-08-22 Online:2009-08-20 Published:2009-09-28
  • Contact: LIU Cong-feng E-mail:cfliu@mail.xidian.edu.cn

Abstract:

For the problem of the covariance matrix estimation in the nonhomogeneous condition for space-time adaptive processing (STAP), the diagonal loading generalized inner products (DL-GIP) technique is proposed. By analyzing the GIP algorithm deeply, the diagonal loading is used to improve the GIP detection performance, and for DL-GIP, the key is to select the loading level, and the selecting method is advanced particularly. It is important that the effect of the diagonal loading upon the GIP performance be analyzed particularly in theory, namely the rational diagonal loading can improve the detection probability and the output signal-to-noise ratio. The last simulation attests its correctness and effectiveness, namely DL-GIP provides a higher probability of detection and robustness multiple outliers detection technique, and its performance is superior to other NHD methods this paper has mentioned.

Key words: space-time adaptive processing (STAP), nonhomogeneity detection (NHD), generalized inner products (GIP), diagonal loading

CLC Number: 

  • TN911