An Improved Focusing Algorithm for Missile-Borne SAR with High Squint

Yong Chen; Hui Chang Zhao; Si Chen; Shu Ning Zhang

doi:10.4028/www.scientific.net/AMM.608-609.761

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 608-609An Improved Focusing Algorithm for Missile-Borne...

An Improved Focusing Algorithm for Missile-Borne SAR with High Squint

Abstract:

Due to that the Doppler parameters vary according to slant and the resolution is lower using imaging algorithm of traditional pulse compression in processing raw echo data of the missile-borne synthetic aperture radar (SAR). Moreover, an algorithm is proposed to solve these problems, which is based on the fractional Fourier transform (FrFT) for missile-borne SAR imaging. Firstly, an echo signal model is built for the terminal guidance stage of the missile-borne SAR. Secondly, measure the chirp rate of the echo signal through the local optimum processing and get the optimum angles for the FrFT, and then the entire SAR image can be obtained by using FrFT with the optimum angles of the azimuth and range. Finally, the performances of the algorithms are assessed using simulated and real Radarsat-1 data sets. The results confirm that the FrFT-based missile-borne SAR processing methods provide enhanced resolution yielding both lower side lobes effects and improved target detection. The method introduced in this paper has important theoretical significance in detection and recognition for military targets and precision guidance.

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Periodical:

Applied Mechanics and Materials (Volumes 608-609)

Pages:

761-765

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.608-609.761

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Online since:

October 2014

Authors:

Yong Chen*, Hui Chang Zhao, Si Chen, Shu Ning Zhang

Keywords:

FRFT, High Squint, Missile-Borne, SAR

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* - Corresponding Author

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