CM-CFAR Parameter Learning Based Square-Law Detector For Foreign Object Debris Radar

被引:0
|
作者
Akcapinar, Kudret [1 ]
Baykut, Suleyman [1 ]
机构
[1] TUBITAK BILGEM BTE, Dept Radar Syst, Gebze, Turkey
关键词
mm-Wave Radar; FMCW Radar; FOD Detection; Statistical Radar Signal Modelling;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
One of the main challenges in foreign object debris detection radar systems is the statistical characterization of the received signals. In this paper, Non-Central Chi-square Distribution with Unequal Variances is proposed to characterize the received background signal. A practical search algorithm for the determination of the detection threshold under this distribution is also suggested. Through both Monte Carlo simulations and real data measurements, the comparison of the proposed detection procedure with widely used statistical models is made in terms of fulfillment of the given false alarm probability.
引用
收藏
页码:1441 / 1444
页数:4
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