Study on the Time-Frequency Two Dimensional CFAR Algorithm for Moving Targets on Ground in PRC-CW Radar

PRC-CW radar is mainly used to detect moving targets on ground. Ground clutter heaves fiercely, and its distribution is complex, which makes it difficult to detect targets correctly from time domain. The characteristics of moving targets and ground clutter differ in frequency domain. And the spectru...

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Bibliographic Details
Published in2010 First International Conference on Pervasive Computing, Signal Processing and Applications pp. 1277 - 1280
Main Authors Han Ning, Liu Limin, Han Zhuangzhi, Shang Chaoxuan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2010
Subjects
Algorithm design and analysis
Clutter
Doppler effect
PRC-CW radar
Radar detection
Radar signal processing
Signal processing algorithms
time-frequency signal process
two-dimensional CFAR
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Summary:PRC-CW radar is mainly used to detect moving targets on ground. Ground clutter heaves fiercely, and its distribution is complex, which makes it difficult to detect targets correctly from time domain. The characteristics of moving targets and ground clutter differ in frequency domain. And the spectrum of targets may change with time, so, this paper designs the time-frequency two dimensional constant false alarm rate(CFAR) algorithm. Based on the analyze of pulse compression and moving targets detection(MTD) of this type radar, the two-dimensional CFAR algorithm is proved to be feasible via simulation. The results of simulation show that, the algorithm can measure the velocity and range of targets correctly. The clutter and noise are also restrained effectively.
ISBN:1424480434
9781424480432
DOI:10.1109/PCSPA.2010.313