Adaptive Detector of Spare Range-spread Target Based on AR Model
Science Discovery
Volume 6, Issue 3, June 2018, Pages: 193-198
Received: Jun. 25, 2018; Published: Jun. 26, 2018
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Authors
Gu Xinfeng, China Satellite Maritime Tracking & Control Department, Jiangyin, China
Xu Zhengfeng, China Satellite Maritime Tracking & Control Department, Jiangyin, China
Yan Shuqiang, China Satellite Maritime Tracking & Control Department, Jiangyin, China
Hao Xiaolin, Yantai Electricity and Economy Technical Institute, Yantai, China
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Abstract
The detecting of spare range-spread target is discussed in this paper based on the AR model of clutter. Compound-Gaussian clutter is modeled as the AR model, and a regressive approximate generalized likelihood ratio test detector based on scatter number (SN-RAGLRT-CG) is proposed. The probability false alarm of the detector is deduced. It does not need secondary range cells to estimating the parameters of clutter. The simulation results also show that the SN-RAGLRT-CG makes full use of the information scatterers and it improves the detection performance for spare scatterer targets of the detector.
Keywords
Compound-Gaussian Clutter, Spherically Invariant Random Vector, AR-Model, Generalized Likelihood Ratio Test
To cite this article
Gu Xinfeng, Xu Zhengfeng, Yan Shuqiang, Hao Xiaolin, Adaptive Detector of Spare Range-spread Target Based on AR Model, Science Discovery. Vol. 6, No. 3, 2018, pp. 193-198. doi: 10.11648/j.sd.20180603.19
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