ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Keystone Transform and MDCFT-based Detection and Parameter Estimation for Maneuvering Weak Targets
Received date: 2012-06-01
Revised date: 2012-11-23
Online published: 2013-04-23
Supported by
Weapon Equipment Scientific Research Project (2012230)
Detection of weak, supersonic and maneuvering targets is a great challenge for traditional radar as the signal-to-noise ratio of the target echoes is very low, and range cell migration and Doppler cell migration occur. To solve these problems, the Keystone transform and modified discrete Chirp-Fourier transform (MDCFT) are combined and a novel radar signal processing method based on this combination is proposed. The range cell migration is compensated by the Keystone transform, and then coherent integration of the Doppler spectrum spread echo is performed by the MDCFT. Furthermore, the method can perform parameter estimation at the same time of detecting the targets, which improves the efficiency of radar signal processing. Finally, the computational complexity and the performance of the method are analyzed, and the effectiveness of the method is verified by simulations.
ZHAN Lixiao , TANG Ziyue , ZHU Zhenbo . Keystone Transform and MDCFT-based Detection and Parameter Estimation for Maneuvering Weak Targets[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(4) : 855 -863 . DOI: 10.7527/S1000-6893.2013.0146
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