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A Chirp-Z Transform Imaging Algorithm for Missile-borne SAR with Diving Maneuver Based on the Method of Series Reversion |
Zhou Peng Zhou Song Xiong Tao Li Ya-chao Xing Meng-dao |
National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China |
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Abstract Due to the high velocity, the complicated flight path and the need of real time processing during the diving maneuver, a new algorithm for the missile-borne SAR imaging is challenging. Thus, a new CZT (Chirp-Z Transform) imaging algorithm based on the method of series reversion is proposed in this paper. Firstly, the point target range function is established, and then it is expanded using the Taylor series. Secondly, the high order approximate expression of the tow-dimensional spectrum is obtained via the method of series reversion, based on which the mended CZT imaging algorithm is derived and the computation load is analyzed then. The algorithm is able to correct the spatially varying range-migration. Because all the operations are composed of the fast Fourier transform and the phase multiplication, the algorithm is efficient. The result of the point targets simulation shows that high resolution image is obtained by using the algorithm proposed with the diving maneuver in entire aperture.
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Received: 07 May 2010
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Corresponding Authors:
Zhou Peng
E-mail: zhoupeng_23@tom.com
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