Please enter verification code
Confirm
Optimum Scatterer Estimation and Adaptive Detection of Sparse Range-spread Target
Science Discovery
Volume 4, Issue 1, February 2016, Pages: 31-38
Received: Apr. 15, 2016; Published: Apr. 16, 2016
Views 1866      Downloads 53
Authors
Gu Xinfeng, China Satellite Maritime Tracking & Control Department, Jiangyin,China
Hao Xiaolin, Yantai Electricityn and Economy Technical Institute, Yantai, China
Xu Rong, China Satellite Maritime Tracking & Control Department, Jiangyin,China
Huang Kun, China Satellite Maritime Tracking & Control Department, Jiangyin,China
Article Tools
Follow on us
Abstract
This paper addresses sparse range-spread target detection in non-Gaussian clutter model as spherically invariant random vector. An optimum scatterers integrator (OSI) is proposed for the problem that it is hard to accurately estimate the number of scatters of the spare range-spread target. The OSI is obtained by integrating the energy of strong scatterers estimated based on the method of maximum detection probability. Moreover, the covariance matrix structure is estimated based on the clutter-cluster estimation and the technology of recursive estimation. An adaptive OSI (AOSI) is obtained by replacing the covariance matrix structure with the estimated one. The AOSI has the Constant false alarm ratio (CFAR) property with respect to the covariance matrix structure and the texture component of the clutter. Finally, the simulation results show the validity of proposed methods.
Keywords
Aadaptive Detection, Range-Spread Target, Non-Gaussian Clutter, Covariance Matrix Structure
To cite this article
Gu Xinfeng, Hao Xiaolin, Xu Rong, Huang Kun, Optimum Scatterer Estimation and Adaptive Detection of Sparse Range-spread Target, Science Discovery. Vol. 4, No. 1, 2016, pp. 31-38. doi: 10.11648/j.sd.20160401.16
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186