کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
560069 1451724 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive detection of range-spread targets in compound Gaussian clutter with the square root of inverse Gaussian texture
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Adaptive detection of range-spread targets in compound Gaussian clutter with the square root of inverse Gaussian texture
چکیده انگلیسی

The compound Gaussian clutter with the square root of inverse Gaussian texture component has been successfully used for modeling the heavy-tailed non-Gaussian clutter measured by high-resolution radars. In high-resolution radars, the targets may extend along multiple consecutive range cells, which are called range-spread targets. In this paper, we consider the range-spread target detection problem in the compound Gaussian clutter with the square root of inverse Gaussian texture. Three adaptive detectors are proposed based on Bayesian one-step generalized likelihood ratio test, maximum a posteriori generalized likelihood ratio test and Bayesian two-step generalized likelihood ratio test, respectively. Finally, the detection performances of the proposed detectors are evaluated by the Monte Carlo simulation. The simulation results show that the proposed detectors have better detection performance of range-spread target than the conventional generalized likelihood ratio test detector.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Signal Processing - Volume 56, September 2016, Pages 132–139
نویسندگان
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