DocumentCode :
3404420
Title :
Target detection of high-resolution radar in non-Gaussian clutter
Author :
Tao, Jian ; Feng, Su ; You, He ; Xuefeng, Gu ; Jian, Shen
Author_Institution :
Res. Inst. of Inf. Fusion, Naval Aeronaut. & Astronaut. Univ., Yantai, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
2047
Lastpage :
2050
Abstract :
The high-resolution radar echo is modeled as a range-spread target. Based on the generalized likelihood ratio test design procedure, the range-spread target detection in spherically invariant random vector clutter is addressed. And a binary integrator with constant false alarm rate property is proposed to detect the whole range-spread target, after single target scatterer detection in each range cell. Finally, the performance assessment shows that, the detection performance is improved as the number of sensors used or the clutter spike increases, while it is robust to the clutter correlation.
Keywords :
radar clutter; radar resolution; radar tracking; target tracking; binary integrator; clutter correlation; constant false alarm rate property; generalized likelihood ratio test design procedure; high-resolution radar echo; invariant random vector clutter; nonGaussian clutter; performance assessment; range-spread target detection; sensors; target scatterer detection; Clutter; Correlation; Detectors; Object detection; Radar detection; Thyristors; Monte Carlo simulation; generalized likelihood ratio test; high-resolution radar target detection; spherically invariant random vector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5655836
Filename :
5655836
Link To Document :
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