CA-CFAR Based Target Detection in FMCW Radars

被引：1
|
作者：
Gunes, Oytun [1 ]
Akdemir, Safak Bilgi [1 ]
机构：
[1] TUBITAK BILGEM ILTAREN, Ankara, Turkiye
来源：
2023 31ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU | 2023年
关键词：
FMCW radars; Radar Signal Processing; Detection; CA-CFAR;
D O I：
10.1109/SIU59756.2023.10224049
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, two different FMCW radar waveforms as sawtooth and triangular are addressed. Firstly, these waveform signals are defined then the results of first Fast Fourier Transform (FFT) as range-amplitude, and second FFT of range-velocity matrix plots are obtained. In these plots two targets which are created using simulation environment are observed. In the detection part for sawtooth signal, using cell averaging constant false alarm rate (CA-CFAR) method detection probability vs signal to noise ratio (SNR) plots are obtained. In addition, the effect of increasing chirp time and decreasing the bandwidth are examined.
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页数：4
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