Apply Super-SVA to Processing Stepped Frequency Chirp Signal with Bandwidth Gaps

Zhai Wen-shuai; Zhang Yun-hua

doi:10.3724/SP.J.1146.2008.00224

Volume 31 Issue 12

Dec. 2010

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Zhai Wen-shuai, Zhang Yun-hua. Apply Super-SVA to Processing Stepped Frequency Chirp Signal with Bandwidth Gaps[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2848-2852. doi: 10.3724/SP.J.1146.2008.00224

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Zhai Wen-shuai, Zhang Yun-hua. Apply Super-SVA to Processing Stepped Frequency Chirp Signal with Bandwidth Gaps[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2848-2852. doi: 10.3724/SP.J.1146.2008.00224

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Apply Super-SVA to Processing Stepped Frequency Chirp Signal with Bandwidth Gaps

doi: 10.3724/SP.J.1146.2008.00224

Received Date: 2008-03-09
Rev Recd Date: 2009-09-18
Publish Date: 2009-12-19

Abstract

Abstract

Stepped Frequency Chirp Signal (SFCS) is one of usually used signals in high-resolution radar. It is a combination of chirp signal and stepped frequency continuous waveform, and has advantages of the both signals. In the design of real radar system, if the frequency step (?f) can be larger than the bandwidth of sub-chirp (Bm), then it will be very helpful for using less number of sub-chirps to obtain larger bandwidth and reducing the influence of target motion on the quality of synthesized signal. However there will have high grating lobes in range profile when ?f Bm if without further processing. Here an algorithm is proposed by using Super-SVA to extrapolate the bandwidth of each sub-chirp so as to fulfill the bandwidth gaps between sub-chirps and efficiently eliminate grating lobes. Super-SVA is also applied to the synthesized range profile, then the sidelobes can be further depressed. The simulation results verify the effectiveness of the proposed algorithm.

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References(1)

References

Nadav L and Mozeson E. Nullifying ACF grating lobes instepped-frequency train of LFM pulses [J].IEEETransactions on Aerospace and Electronic Systems.2003,39(2):694-703[2]Zhang Q, Yeo T S, and Du G. ISAR imaging in strong groundclutter by using a new stepped - frequency signal format[J].IEEE Transactions on Geoscience Remote Sensing.2003,41(5):948-952[3]Alberti G and Citarella L, et al.. Current status of thedevelopment of an Italian airborne SAR system (MINISAR)[C][J].Proceedings of SPIE.2004, Vol. 5236:53-59[4]Gladkova I and Chebanov D. Suppression of grating lobes instepped-frequency train [C]. Proceedings of IEEEInternational Radar Conference, Arlington, Va, USA, May2005: 371-376.[5]张云华, 李海滨, 伍捷. 步进频率线性调频脉冲信号的子孔径处理方法[J]. 系统工程与电子技术, 2006, 28(1): 1-6.[6]Doerry W. SAR processing with stepped chirps and phasedarray antennas [R]. SANDIA Report, SAND2006-5855, 2006.[7]Stankwitz H C and Kosek M R. Super-resolution forSAR/ISAR RCS measurement using spatially variantapodization, Proceedings of Antenna MeasurementTechniques Association (AMTA) 17th Annual Meeting andSymposium, Williamsburg, VA, 13-17 Nov 1995: 251-256.[8]Stankwitz H C and Kosek M R. Sparse aperture fill for SARusing Super-SVA [C]. Proceedings of the 1996 IEEE NationalRadar Conference, Ann Arbor, 13-16 May 1996: 70-75.[9]Xu Xiaojian and Narayanan R M. Enhanced resolution inSAR/ISAR imaging using iterative sidelobe apodization[J].IEEE Transactions on Image Processing.2005, 14(4):537-547[10]Zhuang Long, Liu Xing-zhao, and Zhou Zhi-xin. Enhancedresolution for sparse aperture radar imaging using Super-SVA[C]. Proceedings of Asia-Pacific Microwave Conference,Bangkok, 2007: 95-98.[11]Stankwitz H C, Dallaire R J, and Fienup J R. Nonlinearapodization for sidelobe control in SAR imagery [J].IEEETransactions on Aerospace and Electronic Systems.1995,31(1):267-279

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