Range-Spread Target Adaptive Detector for Non-Gaussian Clutter
Science Discovery
Volume 5, Issue 1, February 2017, Pages: 48-52
Received: Apr. 11, 2017; Published: Apr. 12, 2017
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Authors
Gu Xinfeng, China Satellite Maritime Tracking & Control Department, Jiangyin, China
Hao Xiaolin, Yantai Electricity and Economy Technical Institute, Yantai, China
Liu Tongling, China Satellite Maritime Tracking & Control Department, Jiangyin, China
Yang Ganlin, China Satellite Maritime Tracking & Control Department, Jiangyin, China
Li Xinxing, China Satellite Maritime Tracking & Control Department, Jiangyin, China
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Abstract
This paper addresses range-spread target detection in non-Gaussian clutter modeled as spherically invariant random vector clutter (SIRV). A adaptive modified scatterer density dependent (AMSDD) detector based on clutter power is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. Firstly, it estimates the scatterers by the power of clutter. Then, the returns of target scatterers are used to compare with the threshold to determine whether the target is exist or not. Compare with the MSDD and the NSDD , the AMSDD, adaptively estimates the number of target scatterers according to the observations, which can improve performance and robustness of detector effectively.
Keywords
Non-Gaussian Clutter, Range-Spread Rarget, Detection, Adaptive
To cite this article
Gu Xinfeng, Hao Xiaolin, Liu Tongling, Yang Ganlin, Li Xinxing, Range-Spread Target Adaptive Detector for Non-Gaussian Clutter, Science Discovery. Vol. 5, No. 1, 2017, pp. 48-52. doi: 10.11648/j.sd.20170501.18
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