Space target velocity compensation based on fractional autocorrelation and PSO optimization

Xiaohong Lin; Zhuang Wang; Xiaoyong Du

doi:10.1117/12.832922

30 October 2009 Space target velocity compensation based on fractional autocorrelation and PSO optimization

Xiaohong Lin, Zhuang Wang, Xiaoyong Du

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74940D (2009) https://doi.org/10.1117/12.832922
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Distortion compensation of High-resolution range profile plays an important role in ISAR imaging of high-speed space target. Since the baseband echo of such target is a multi-component linear frequency modulated(LFM) signal with identical chirp rates. Since the peaks of its ambiguity function lie on a set of parallel lines, whose slope is relative to the chirp rate, an estimator based on the fractional autocorrelation is provided to estimate the target's radial velocity. Furthermore, the particle swarm optimization(PSO) algorithm is also applied to speed up the progress of parameter estimation,. Finally, the velocity compensation is accomplished with the estimated velocity. Simulations show that the proposed method can compensate the range profile distortion of space target effectively.

Citation Download Citation

Xiaohong Lin, Zhuang Wang, and Xiaoyong Du "Space target velocity compensation based on fractional autocorrelation and PSO optimization", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74940D (30 October 2009); https://doi.org/10.1117/12.832922

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KEYWORDS

Particles

Particle swarm optimization

Distortion

Detection and tracking algorithms

Monte Carlo methods

Radar

Scattering

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