Comparison of radar-based human detection techniques

被引：0
|
作者：
Gurbuz, Sevgi Zubeyde [1 ]
Melvin, William L. [2 ]
Williams, Douglas B. [1 ]
机构：
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, George Tech Res Inst, Atlanta, GA 30332 USA
来源：
CONFERENCE RECORD OF THE FORTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1-5 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Radar offers unique advantages over other sensors in the human detection problem, such as remote operation during virtually all weather and lighting conditions. Many radar-based human detection systems today employ Fourier analysis, such as spectrograms. However, spectrograms perform poorly in high clutter environments. Also, an inherent SNR loss is caused by the implicit assumption of linear target phase. In this paper, human modeling is used to derive a more accurate non-linear approximation to the true non-linear target phase and the liklihood ratio is optimized over unknown parameters to enhance detection performance. Performance Is compared both analytically and through MATLAB simulations.
引用
收藏
页码：2199 / +
页数：2
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