An Algorithm for Target Parameter Estimation Based on Fractional Fourier and Keystone Transforms

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Abstract An important standard to measure the effectiveness of radar acquisition systems is the accuracy of target parameter estimation. To solve the estimation problem, the echo model of moving targets is established and the FRactional Fourier Transform (FRFT) is subsequently used to estimate the acceleration; further, data fusion is used to raise estimation accuracy. Finally, Range Cell Migration (RCM) and Doppler ambiguity are solved by using the Keystone transform and the ambiguity channels based on the estimated acceleration. The simulation results show high accuracy, complexity, and noise robustness.

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	Articles by authors
	Tian Rui-qi
	Bao Qing-long
	Wang Ding-he
	Chen Zeng-ping

Key words： FRactional Fourier Transform (FRFT) Keystone transform Parameter estimation Doppler ambiguity

Received: 2014-03-27; Published: 2014-09-05

Cite this article:

Tian Rui-qi,Bao Qing-long,Wang Ding-he et al. An Algorithm for Target Parameter Estimation Based on Fractional Fourier and Keystone Transforms[J]. JOURNAL OF RADARS, 2014, 3(5): 511-517.

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