Vol. 30
Latest Volume
All Volumes
PIERB 105 [2024] PIERB 104 [2024] PIERB 103 [2023] PIERB 102 [2023] PIERB 101 [2023] PIERB 100 [2023] PIERB 99 [2023] PIERB 98 [2023] PIERB 97 [2022] PIERB 96 [2022] PIERB 95 [2022] PIERB 94 [2021] PIERB 93 [2021] PIERB 92 [2021] PIERB 91 [2021] PIERB 90 [2021] PIERB 89 [2020] PIERB 88 [2020] PIERB 87 [2020] PIERB 86 [2020] PIERB 85 [2019] PIERB 84 [2019] PIERB 83 [2019] PIERB 82 [2018] PIERB 81 [2018] PIERB 80 [2018] PIERB 79 [2017] PIERB 78 [2017] PIERB 77 [2017] PIERB 76 [2017] PIERB 75 [2017] PIERB 74 [2017] PIERB 73 [2017] PIERB 72 [2017] PIERB 71 [2016] PIERB 70 [2016] PIERB 69 [2016] PIERB 68 [2016] PIERB 67 [2016] PIERB 66 [2016] PIERB 65 [2016] PIERB 64 [2015] PIERB 63 [2015] PIERB 62 [2015] PIERB 61 [2014] PIERB 60 [2014] PIERB 59 [2014] PIERB 58 [2014] PIERB 57 [2014] PIERB 56 [2013] PIERB 55 [2013] PIERB 54 [2013] PIERB 53 [2013] PIERB 52 [2013] PIERB 51 [2013] PIERB 50 [2013] PIERB 49 [2013] PIERB 48 [2013] PIERB 47 [2013] PIERB 46 [2013] PIERB 45 [2012] PIERB 44 [2012] PIERB 43 [2012] PIERB 42 [2012] PIERB 41 [2012] PIERB 40 [2012] PIERB 39 [2012] PIERB 38 [2012] PIERB 37 [2012] PIERB 36 [2012] PIERB 35 [2011] PIERB 34 [2011] PIERB 33 [2011] PIERB 32 [2011] PIERB 31 [2011] PIERB 30 [2011] PIERB 29 [2011] PIERB 28 [2011] PIERB 27 [2011] PIERB 26 [2010] PIERB 25 [2010] PIERB 24 [2010] PIERB 23 [2010] PIERB 22 [2010] PIERB 21 [2010] PIERB 20 [2010] PIERB 19 [2010] PIERB 18 [2009] PIERB 17 [2009] PIERB 16 [2009] PIERB 15 [2009] PIERB 14 [2009] PIERB 13 [2009] PIERB 12 [2009] PIERB 11 [2009] PIERB 10 [2008] PIERB 9 [2008] PIERB 8 [2008] PIERB 7 [2008] PIERB 6 [2008] PIERB 5 [2008] PIERB 4 [2008] PIERB 3 [2008] PIERB 2 [2008] PIERB 1 [2008]
2011-04-29
Application of Super-SVA to Stepped-Chirp Radar Imaging with Frequency Band Gaps Between Subchirps
By
Progress In Electromagnetics Research B, Vol. 30, 71-82, 2011
Abstract
It is well-known that the stepped-frequency chirp signal (SFCS) technique is one of the very effective approaches for achieving high range resolution in radar [1-5]. The SFCS is a train of subchirp pulses with up-stepped or down-stepped carrier frequencies. However, there exists a rang-Doppler coupling problem (RDCP) when applying this signal to practical radar system because longer time is needed for transmitting a complete burst compared with that needed for transmitting just a single chirp. In radar system design, if carrier frequency step (△f) can be larger than the bandwidth of subchirp (Bm), it will be very helpful for using less number of subchirps to obtain high resolution and at the same time the influence of RDCP on imaging quality can be reduced. However the spectrum of transmitted signal is not continuous but with bandwidth gaps existing when Δf > Bm, and it will finally lead to high grating lobes in range profile. In this paper, the Super-SVA technique is applied to radar signal processing to solve the grating lobe problem arisen from bandwidth gaps. Super-SVA has been proven to be a very effective method used for extrapolating signal spectrum. Simulation and experiment results for moving train imaging are presented to show that the algorithm works very well.
Citation
Wenshuai Zhai, and Yunhua Zhang, "Application of Super-SVA to Stepped-Chirp Radar Imaging with Frequency Band Gaps Between Subchirps," Progress In Electromagnetics Research B, Vol. 30, 71-82, 2011.
doi:10.2528/PIERB11032810
References

1. Levanon, N. and E. Mozeson, Radar Signals, John Wiley & Sons, 2003.

2. Levanon, N., "Stepped-frequency pulse-train radar signal," IEE Proceedings Radar, Sonar and Navigation, Vol. 149, No. 6, 297-309, 2002.
doi:10.1049/ip-rsn:20020432

3. Zhang, Q., T. S. Yeo, and G. Du, "ISAR imaging in strong ground clutter by using a new stepped-frequency signal format," IEEE Trans. Geosci. Remote Sensing, Vol. 41, No. 5, 948-9521, 2003.
doi:10.1109/TGRS.2003.811760

4. Gladkova, I. and D. Chebanov, "Suppression of grating lobes in stepped-frequency train," Proceedings of IEEE International Radar Conference, 371-376, May 2005.
doi:10.1109/RADAR.2005.1435853

5. Doerry, A. W., "SAR processing with stepped chirps and phased array antennas," SANDIA Report, 2006-5855, 2006.

6. Zhai, W., X. Zhang, and Y. Zhang, "Signal processing and resolution analysis of Ka-band stepped-frequency radar in moving target imaging experiment," Global Symposium on Millimeter Waves 2010 (GSMM 2010), 83-86, Apr. 2010.

7. Stankwitz, H. C. and M. R. Kosek, "Super-resolution for SAR/ISAR RCS measurement using spatially variant apodization," Proceedings of Antenna Measurement Techniques Association (AMTA) 17th Annual Meeting and Symposium, 251-256, Nov. 1995 .

8. Xu, X. and R. M. Narayanan, "Enhanced resolution in SAR/ISAR imaging using iterative sidelobe apodization," IEEE Transactions on Image Processing, Vol. 14, No. 4, 537-547, Apr. 2005.
doi:10.1109/TIP.2004.841198

9. Stankwitz, H. C. and M. R. Kosek, "Sparse aperture fill for SAR using Super-SVA," Proceedings of the 1996 IEEE National Radar Conference, 70-75, May 1996.
doi:10.1109/NRC.1996.510659

10. Zhuang, L., X. Liu, and Z. Zhou, "Enhanced resolution for sparse aperture radar imaging using Super-SVA," Proceedings of Asia-Pacific Microwave Conference, 95-98, 2007.

11. Zhai, W.-S. and Y.-H. Zhang, "Apply Super-SVA to processing stepped frequency chirp signal with bandwidth gaps," Journal of Electronics & Information Technology, Vol. 31, No. 12, 2848-2852, 2009.

12. Zhai, W. and Y. Zhang, "Apply Super-SVA to SAR imaging with both aperture gaps and bandwidth gaps,", Vol. 57, 39-42, 2009.

13. Zhang, Y., J.Wu, and H. Li, "Two simple and effiicient approaches for compressing stepped chirp signals," AMPC, Vol. 2, 690-693, Dec. 4 2005.

14. Zhang, Y., H. Li, and J. Wu, "Subaperture processing method for stepped frequency chirp signal," System Engineering and Electronics, Vol. 28, No. 1, 1-6, Jan. 2006.

15. Stankwitz, H. C., R. J. Dallaire, and J. R. Fienup, "Nonlinear apodization for sidelobe control in SAR imagery," IEEE Trans. on Aerospace and Electronic Systems, Vol. 31, No. 1, 267-279, 1995.
doi:10.1109/7.366309