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Beijing, China

Gao W.,Radar Research Laboratory | Ding Z.,Radar Research Laboratory | Zhu D.,Radar Research Laboratory | Zeng T.,Radar Research Laboratory | Long T.,Radar Research Laboratory
Science China Information Sciences | Year: 2015

To improve the efficiencies of the traditional spectrum reconstruction techniques, an improved spectrum reconstruction technique (ISRT) based on chirp rate modulation (CRM) is proposed. With the help of a CRM operation, a reconstructed wideband signal with a narrow pulse width can be obtained. Compared with the traditional time domain spectrum reconstruction technique (TSRT), ISRT is less time-consuming since much less samples are needed. Compared with the traditional frequency domain spectrum reconstruction technique (FSRT), the reconstructed signal is a chirp signal, which has no limitation on the subsequent imaging algorithm. What is more, processing steps of ISRT are optimized, and the computational burden is less than that of TSRT and FSRT. Both simulation results and real data processing have verified the validity of ISRT. © 2015 Science China Press and Springer-Verlag Berlin Heidelberg

Fu X.,Radar Research Laboratory | Yan H.,Radar Research Laboratory | Wang C.,Radar Research Laboratory | Lei X.,Radar Research Laboratory | Gao M.,Radar Research Laboratory
IEEE Transactions on Aerospace and Electronic Systems | Year: 2013

A micro-motion sequential separation method based on inverse Radon transform (IRT) is proposed. The method has an accumulation effect and, therefore can adapt to environment with relatively low signal-to-noise ratio (SNR). This method has the capability of antidiscontinuous tracking and thus is suitable in the multi-target tracking scenario. The method is a good candidate in large dynamic range scenes to detect relatively weak scatterers of micro-motions. It is more computationally efficient in comparison with the methods based on the Hough transform (HT). © 1965-2011 IEEE.

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