DocumentCode :
2291596
Title :
Novel Long-Term Coherent Integration Method For Moving-Target-Detection
Author :
Deng, Bing ; Tao, Ran ; Ma, Lu
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol.
fYear :
2006
fDate :
16-19 Oct. 2006
Firstpage :
1266
Lastpage :
1268
Abstract :
In radar signal processing, clutter suppressing and moving targets detection are basic problems. In order to detect the weak targets effectively, a novel method of long-term coherent integrated moving-target-detection based on the fractional Fourier transform is proposed in this paper. This method can compensate the Doppler migration and suppress the clutter effectively by using the discrete FRFT as the swept-frequency filter bank. The simulation results show that it has better performance of weak targets detection than the classical MTD and its computation burden is acceptable, which prove the validity of this method
Keywords :
channel bank filters; discrete Fourier transforms; interference suppression; radar clutter; radar detection; radar signal processing; radar tracking; target tracking; Doppler migration compensation; FRFT; clutter suppression; coherent integration method; discrete fractional Fourier transform; moving-target-detection; radar signal processing; swept-frequency filter bank; Clutter; Doppler radar; Filter bank; Fourier transforms; Frequency domain analysis; Object detection; Polynomials; Radar detection; Radar signal processing; Radio access networks; Coherent Integration; Moving-Target-Detection; fractional Fourier transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
Type :
conf
DOI :
10.1109/ICR.2006.343217
Filename :
4148323
Link To Document :
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