Volume 3 Issue 5
Dec.  2014
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Dai Qiang, Cheng Yong-qiang, Qin Yu-liang, Wang Hong-qiang, Li Xiang. Error Analysis of Radar Coincidence Imaging in the Presence of Noise[J]. Journal of Radars, 2014, 3(5): 541-547. doi: 10.3724/SP.J.1300.2014.14029
Citation: Dai Qiang, Cheng Yong-qiang, Qin Yu-liang, Wang Hong-qiang, Li Xiang. Error Analysis of Radar Coincidence Imaging in the Presence of Noise[J]. Journal of Radars, 2014, 3(5): 541-547. doi: 10.3724/SP.J.1300.2014.14029

Error Analysis of Radar Coincidence Imaging in the Presence of Noise

doi: 10.3724/SP.J.1300.2014.14029
  • Received Date: 2014-02-18
  • Rev Recd Date: 2014-03-11
  • Publish Date: 2014-10-28
  • Radar coincidence imaging is a new method for high-resolution staring imaging. First, the mathematical model is constructed. Second, the theoretical error for radar coincidence imaging in the presence of noise is derived using the parametric imaging method. Third, the factors that affect the error are analyzed. Fourth, the sparse reconstruction algorithm is used to perform numerical simulations of radar coincidence imaging with different parameters. Finally, the effects of signal bandwidth, array configuration, size of the imaging unit, and target complexity on image error in the presence of noise are discussed. This study provides the theoretical framework for parameters selection and SNR requirements for radar coincidence imaging systems.
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Error Analysis of Radar Coincidence Imaging in the Presence of Noise

doi: 10.3724/SP.J.1300.2014.14029

Abstract: Radar coincidence imaging is a new method for high-resolution staring imaging. First, the mathematical model is constructed. Second, the theoretical error for radar coincidence imaging in the presence of noise is derived using the parametric imaging method. Third, the factors that affect the error are analyzed. Fourth, the sparse reconstruction algorithm is used to perform numerical simulations of radar coincidence imaging with different parameters. Finally, the effects of signal bandwidth, array configuration, size of the imaging unit, and target complexity on image error in the presence of noise are discussed. This study provides the theoretical framework for parameters selection and SNR requirements for radar coincidence imaging systems.

Dai Qiang, Cheng Yong-qiang, Qin Yu-liang, Wang Hong-qiang, Li Xiang. Error Analysis of Radar Coincidence Imaging in the Presence of Noise[J]. Journal of Radars, 2014, 3(5): 541-547. doi: 10.3724/SP.J.1300.2014.14029
Citation: Dai Qiang, Cheng Yong-qiang, Qin Yu-liang, Wang Hong-qiang, Li Xiang. Error Analysis of Radar Coincidence Imaging in the Presence of Noise[J]. Journal of Radars, 2014, 3(5): 541-547. doi: 10.3724/SP.J.1300.2014.14029

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