ISAR Imaging of Ship Targets Based on an Integrated Cubic Phase Bilinear Autocorrelation Function
AbstractFor inverse synthetic aperture radar (ISAR) imaging of a ship target moving with ocean waves, the image constructed with the standard range-Doppler (RD) technique is blurred and the range-instantaneous-Doppler (RID) technique has to be used to improve the image quality. In this paper, azimuth echoes in a range cell of the ship target are modeled as noisy multicomponent cubic phase signals (CPSs) after the motion compensation and a RID ISAR imaging algorithm is proposed based on the integrated cubic phase bilinear autocorrelation function (ICPBAF). The ICPBAF is bilinear and based on the two-dimensionally coherent energy accumulation. Compared to five other estimation algorithms, the ICPBAF can acquire higher cross term suppression and anti-noise performance with a reasonable computational cost. Through simulations and analyses with the synthetic model and real radar data, we verify the effectiveness of the ICPBAF and corresponding RID ISAR imaging algorithm. View Full-Text
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Zheng, J.; Liu, H.; Liu, Z.; Liu, Q.H. ISAR Imaging of Ship Targets Based on an Integrated Cubic Phase Bilinear Autocorrelation Function. Sensors 2017, 17, 498.
Zheng J, Liu H, Liu Z, Liu QH. ISAR Imaging of Ship Targets Based on an Integrated Cubic Phase Bilinear Autocorrelation Function. Sensors. 2017; 17(3):498.Chicago/Turabian Style
Zheng, Jibin; Liu, Hongwei; Liu, Zheng; Liu, Qing H. 2017. "ISAR Imaging of Ship Targets Based on an Integrated Cubic Phase Bilinear Autocorrelation Function." Sensors 17, no. 3: 498.
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