Improving Performance of Adaptive Radar Detectors in Nonhomogeneous Environment
محل انتشار: بیست و یکمین کنفرانس مهندسی برق ایران
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 915
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شناسه ملی سند علمی:
ICEE21_007
تاریخ نمایه سازی: 27 مرداد 1392
چکیده مقاله:
Nonhomogeneous environment with unknown statistics can severe disturb detection performance of adaptive radar detectors, due to the lack of sufficient amount ofindependent and identically distributed (iid) data from which the detector can estimate the statistics of the environment. Significant performance improvement can be achieved by employing pre-processing algorithms to detect the outlier samples and reject them. The usual approach fornonhomogeneity detection is Generalized Inner Product (GIP). In this paper, a new outlier detection algorithm based on Automatic Censored Mean Level (ACML) algorithm is proposed which does not require any prior knowledge about the background environment. Simulation results demonstrate that the new proposed algorithm is more effective in finding nonhomogeneous samples and thus improves the performance of adaptive detector better than GIP algorithm
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نویسندگان
N Aghaabdellahian
Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran