Journal of Systems Engineering and Electronics

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Adaptive coherence estimator based on the Krylov subspace technique for airborne radar  

Weijian Liu1,2, Wenchong Xie2, Haibo Tong1, Honglin Wang2, Cui Zhou2, and Yongliang Wang2,*     

  1. 1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;
    2. Air Force Early Warning Academy, Wuhan 430019, China
  • Online:2015-08-25 Published:2010-01-03


A novel adaptive detector for airborne radar space-time adaptive detection (STAD) in partially homogeneous environments is proposed. The novel detector combines the numerically stable Krylov subspace technique and diagonal loading technique, and it uses the framework of the adaptive coherence estimator (ACE). It can effectively detect a target with low sample support. Compared with its natural competitors, the novel detector has higher probability of detection (PD), especially when the number of the training data is low. Moreover, it is shown to be practically constant false alarm rate (CFAR).