基于改进型快速双线性参数估计的复杂运动目标ISAR成像

doi:10.11999/JEIT151359

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Abstract

In view of image defocus caused by Doppler frequency shift in ISAR imaging of targets with complex motion, this paper characterizes the azimuth echoes as Cubic Phase Signal (CPS) and proposes an ISAR imaging algorithm for targets with complex motion based on the modified fast bilinear parameter estimation. This algorithm can achieve parameter estimation of CPS and ISAR imaging quickly by employing the cubic phase bilinear function, NonUniform Fast Fourier Transform (NUFFT), scale transform based on Chirp-z transform and Fast Fourier Transform (FFT). The computational cost is low due to the NUFFT and FFT in implementation procedure, and bilinearity guarantees a high anti-noise performance and a good suppression on cross-terms. The theoretical analysis and simulation results demonstrate the effectiveness of the proposed ISAR imaging algorithm.

Key words： Inverse SAR (ISAR) Cubic Phase Signal (CPS) Parameter estimation NonUniform Fast Fourier Transform (NUFFT)

Received: 03 December 2015 Published: 14 July 2016

PACS:

TN957.52

Fund:

The National Natural Science Foundation of China (61271024, 61201283), Program for New Century Excellent Talents in University (NCET-09-0630)

Corresponding Authors: Lü Qian E-mail: lvqian@stu.xidian.edu.cn

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Cite this article:

Lü Qian,SU Tao. ISAR Imaging of Targets with Complex Motion Based on the Modified Fast Bilinear Parameter Estimation[J]. JEIT, 2016, 38(9): 2301-2308.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT151359 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I9/2301

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