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

• 作 者: Weijian Liu Wenchong Xie Haibo Tong Honglin Wang Cui Zhou Yongliang Wang
• 机 构: College of Electronic Science and Engineering, National University of Defense Technology,Air Force E
• 出 处: Journal of Systems Engineering and Electronics
• 发表日期: 2015年04期
• 关键词: airborne radar space-time adaptive detection (STAD) constant false alarm rate (C

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).

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) 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).