NDLI: Apply super-SVA to Stepped-frequency chirp signal processing based on dechirp method

Content Provider	IEEE Xplore Digital Library
Author	Wenshuai Zhai Yunhua Zhang
Copyright Year	2009
Description	Author affiliation: Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing 100190, China (Wenshuai Zhai; Yunhua Zhang)
Abstract	Stepped-frequency chirp signal (SFCS) is an important signal form used for high-resolution radar. It contains several sub-chirp signals with stepped carrier frequency and can be synthesized to a wide-band chirp signal. Dechip method is a quick, effective method to process SFCS, it synthesizes the sub-pulses of SFCS in time-domain. The usual design rule of SFCS is the frequency step (Δf) must be less than the bandwidth of sub-chirp (Bm). If Δf > Bm, the synthesized signal will have gaps, which leading to grating lobes in radar image. Here we proposed an algorithm by using Super-SVA to extrapolate each sub-pulse so as to fill the gaps and depress grating lobes. Without the restriction of Δf < Bm, it will be very helpful for using less sub-chirps to obtain higher resolution and reducing the influence of target motion on the quality of synthesized signal. We presented simulations to verify the proposed algorithm. Furthermore the results imply that super-SVA can not only be used for frequency-domain extrapolation, but also time-domain extrapolation of chirp signal.
Starting Page	431
Ending Page	434
File Size	103067
Page Count	4
File Format	PDF
ISBN	9781424427314
DOI	10.1109/APSAR.2009.5374288
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency synthesizers Chirp Super-SVA Time domain analysis grating lobe Extrapolation Signal processing algorithms Signal processing Stepped Frequency Chirp Signal Radar signal processing Signal synthesis Gratings Wideband high resolution SVA
Content Type	Text
Resource Type	Article

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