Target detection in ground clutter with stepped frequency CFAR detector at millimeter-wave

Author(s):  
H. Yamaguchi ◽  
A. Kajiwara ◽  
S. Hayashi ◽  
R. Saiga
2001 ◽  
Author(s):  
A. J. Gatesman ◽  
T. M. Goyette ◽  
J. C. Dickinson ◽  
J. Waldman ◽  
J. Neilson ◽  
...  

2001 ◽  
Author(s):  
Andrew J. Gatesman ◽  
Thomas M. Goyette ◽  
Jason C. Dickinson ◽  
Jerry Waldman ◽  
Jim Neilson ◽  
...  

2013 ◽  
Vol 401-403 ◽  
pp. 1419-1423
Author(s):  
Hui Long Jin

An improved FMCW auto-collision radar system is introduced. The system includes perfect binary sequences pairs theory, the method using auto-correlation functions to get target signal and measure distance, this enables itself to get constant development with theoretical progress. The new system only changes the program of signal generator a little, moreover it can be realized by DSP, which can reduce the false alert notably so as to be applied increasingly widely. Key words: stepped-frequency modulation; multi-target detection; perfect binary sequences pairs


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Xuwang Zhang ◽  
Songtao Lu ◽  
Jinping Sun ◽  
Wei Shangguan

This paper proposes a spectrum zoom processing based target detection algorithm for detecting the weak echo of low-altitude and slow-speed small (LSS) targets in heavy ground clutter environments, which can be used to retrofit the existing radar systems. With the existing range-Doppler frequency images, the proposed method firstly concatenates the data from the same Doppler frequency slot of different images and then applies the spectrum zoom processing. After performing the clutter suppression, the target detection can be finally implemented. Through the theoretical analysis and real data verification, it is shown that the proposed algorithm can obtain a preferable spectrum zoom result and improve the signal-to-clutter ratio (SCR) with a very low computational load.


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