Volume 10 Issue 6
Dec.  2021
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Article Navigation >  Journal of Radars  > 2021  >  10(6): 956-969
PEI Jiazheng, HUANG Yong, CHEN Baoxin, et al. Long time coherent integration method based on combining pulse compression and Radon-Fourier transform[J]. Journal of Radars, 2021, 10(6): 956–969. doi: 10.12000/JR21068
Citation: PEI Jiazheng, HUANG Yong, CHEN Baoxin, et al. Long time coherent integration method based on combining pulse compression and Radon-Fourier transform[J]. Journal of Radars, 2021, 10(6): 956–969. doi: 10.12000/JR21068
shu

Long Time Coherent Integration Method Based on Combining Pulse Compression and Radon-Fourier Transform

DOI: 10.12000/JR21068
  • 1.

    Naval Aviation University, Yantai 264000, China

  • 2.

    92337 Troop of PLA, Dalian 116000, China

  • 3.

    91321 Troop of PLA, Jinhua 321000, China

Funds:  The National Natural Science Foundation of China (61871391, U1933135), The National Defense Science Foundation under Grant (2019-JCJQ-JJ-058), Shandong Province Higher Education Youth Innovation Science and Technology Support Program (2019KJN026), Shandong Provincial Natural Science Foundation, grant number (ZR202102190211)
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    Abstract
  • In the traditional coherent radar signal processing, the cascaded processing with pulse compression followed by coherent integration cannot achieve the maximum accumulation of high-speed target’s echo energy in theory. In addition, the result of the cascaded processing is characterized by deviation in the target peak position, accompanied by problems, such as the broadening of the main lobe, a decrease in the gain, and an increase in the side lobes. Therefore, this paper proposes a long time coherent integration method combining Pulse Compression and Radon-Fourier Transform (PC-RFT). This method utilizes the correlation between signals to combine matched filter and RFT. To maximize the target gain, the fast time (intra-pulse time) and slow time (inter-pulse time) dimensions are combined to compensate for the intra-pulse and inter-pulse Doppler shifts. The experimental results show that the two-dimensional joint processing outperforms the cascaded processing.

     

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