PhotonIcs and Electromagnetics Research Symposium,
also known as Progress In Electromagnetics Research Symposium
PIERS Proceedings
Published: 2015-07-09
An Formation Algorithm of the Synthetic Aperture in an Automotive Radar with Use of the MUSIC Algorithm
By
Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9,Page(s)1834-1838
Abstract
This paper proposes an implementation of MUSIC algorithm in order to increase a range resolution after processing of synthetic aperture radar (SAR) image. SAR system operates in small ranges and uses a frequency modulated continuous wave (FMCW) in radars, offers a low- cost, low power, small earth observation system that can be placed on different types of mobile platforms. SAR operates in the side looking mode. Modified wavenumber domain algorithm (WDA) is used. WDA gives a clear sinc function on both coordinates of image. Post-processing is performed in cut-out piece of focused image after WDA. Simulation conditions are reached at the expense of available equipment intended for experimental verification.
Citation
Zhargal T. Erdyneev, Andrey A. Geltser, Gleb O. Manokhin, Eugeniy V. Rogozhnikov, Alexander A. Shibelgut, and Elena Pavlovna Velikanova, "An Formation Algorithm of the Synthetic Aperture in an Automotive Radar with Use of the MUSIC Algorithm," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9,Page(s)1834-1838
References

1. Antipov, V. N., V. T. Goryainov, and A. V. Kulin, Radar Stations with Digital Synthesizing of Aperture of Antenna, Radio and Svyaz, Moscow, 1988.        Google Scholar

2. Franceschetti, G. and R. Lanari, Synthetic Aperture Radar Processing, CRC Press, 1999.        Google Scholar

3. Meta, A., J. J. M. de Wit, and P. Hoogeboom, "Development of a high resolution airborne millimeter wave FM-CW SAR," Proceedings of First European Radar Conference EuRAD2004, 209-212, Amsterdam, the Netherlands, October 11–15, 2004.        Google Scholar

4. Meta, A. and P. Hoogeboom, "Development of signal processing algorithms for high resolution airborne millimeter wave FMCW SAR," Proceedings of IEEE International Radar Conference 2005, 326-331, Arlington, USA, May 9-12, 2005.
doi:10.1109/radar.2005.1435845        Google Scholar

5. Wang, R., O. Loffeld, H. Nies, S. Knedlik, M. Hagelen, and H. Essen, "Focus FMCW SAR data using the wavenumber domain algorithm," IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 4, 2109-2118, 2010.
doi:10.1109/tgrs.2009.2034368        Google Scholar

6. Xue, G. Y., J. G. Yang, and P. G. Liu, "Modified range migration algorithm integrated with motion compensation for FMCW SAR," Proceedings of IET International Radar Conference 2013, 1-4, Xi'an, China, April 14-16, 2013.
doi:10.1049/cp.2013.0191        Google Scholar

7. Wang, W.-Q., Q. Peng, and J. Cai, "Waveform-diversity-based millimeter-wave UAV SAR remote sensing," IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 3, 691-700, 2009.
doi:10.1109/tgrs.2008.2008720        Google Scholar

8. Luo, Y.-H., H. Song, R. Wang, and S. Zheng, "High-resolution automobile FMCW SAR and signal processing," Journal of Electronics, Vol. 30, No. 6, 561-566, 2013.
doi:10.1007/s11767-013-3115-1        Google Scholar

9. Cho, B.-L., Y.-K. Kong, H.-G. Park, and Y.-S. Kim, "Automobile-based SAR/InSAR system for ground experiments," IEEE Geoscience and Remote Sensing Letters, Vol. 3, No. 3, 401-405, 2006.
doi:10.1109/lgrs.2006.873358        Google Scholar

10. Pieraccini, M., G. Luzi, and C. Atzeni, "Terrain mapping by ground-based interferometric radar," IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 10, 2176-2181, 2001.
doi:10.1109/36.957280        Google Scholar

11. Thompson, P., M. Nannini, and R. Scheiber, "Target separation in SAR image with the MUSIC algorithm," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007, 468-471, Barcelona, Spain, July 23-28, 2007.
doi:10.1109/igarss.2007.4422832        Google Scholar

12. Schmidt, R. O., "Multiple emitter location and signal parameter estimation," IEEE Transactions on Antennas and Propagation, Vol. 34, No. 3, 276-280, 1986.
doi:10.1109/tap.1986.1143830        Google Scholar

13. Ermolaev, V. T., A. A. Mal'tsev, and K. V. Rodyushkin, "Statistical characteristics of the AIC and MDL criteria in the problem of estimating the number of sources of multivariate signals in the case of a short sample," Radiophysics and Quantum Electronics, Vol. 44, No. 12, 977-983, 2001.
doi:10.1023/a:1014882129741        Google Scholar

14. Marple, Jr., S. L., Digital Spectral Analysis: With Applications, Prentice-Hall, Englewood Cliffs, N.J., 1987.        Google Scholar