DocumentCode :
1662705
Title :
Long-Term integration algorithm using the HPRF stepped frequency waveform
Author :
Haojuan, Yuan ; Meiguo, Gao ; Sen, Wang
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing
fYear :
2008
Firstpage :
2310
Lastpage :
2313
Abstract :
A long-term integration algorithm using the HPRF stepped frequency waveform is presented to improve the range and Doppler resolution of moving targets. A stepped frequency radar signal is applied to realize high range resolution; a long-term integration is applied to realize high Doppler resolution. Besides, with the long-term integration, the gain from coherent integration can also be improved a lot, which is of great benefit to the detection of small targets. During this processing, a segment accumulation method is proposed to reduce the storage and computational requirements; a velocity compensation method based on the keystone transform is presented to overcome the image aliasing due to the coupling effects of moving targets; then a synthetic high resolution image generation method is introduced to synthesize an unambiguous range-Doppler image of moving targets. Finally the performance of this algorithm is demonstrated using simulated data as well as experimental results.
Keywords :
Doppler radar; image resolution; integration; object detection; radar imaging; radar resolution; Doppler resolution; HPRF waveform; high power radio frequency waveform; keystone transform; long-term integration algorithm; segment accumulation method; stepped frequency radar signal; synthetic high resolution image generation method; target detection; unambiguous range-Doppler image synthesis; velocity compensation method; Frequency; Image generation; Image resolution; Image segmentation; Image storage; Radar detection; Radar signal processing; Signal processing; Signal processing algorithms; Signal resolution; Long-term integration; Synthetic high resolution image generation; segment accumulation; velocity compensation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697611
Filename :
4697611
Link To Document :
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