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http://dx.doi.org/10.5515/KJKIEES.2012.23.1.056

Sweep Nonlinearity Estimation for High Range Resolution Millimeter-Wave Seeker Using Least Squares Method  

Yang, Hee-Seong (Department of Electrical Engineering, KAIST)
Chun, Joo-Hwan (Department of Electrical Engineering, KAIST)
Song, Sung-Chan (Samsung Thales Co., Ltd.)
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Abstract
In this thesis, to compensate the sweep nonlinearity occurring in the high resolution radar system using FMICW or FMCW, the method of the estimation of the nonlinearity is proposed. The nonlinear phase component caused by the nonlinear characteristic of the radar system is modelled as a linear combination of the sinusoidal functions consisting of various magnitudes and phases(systematic nonlinear phase error) and a random component(stochastic nonlinear phase error). From two IF signals that are measured respectively independently for two reference point targets lying in different distances which are known, a sparse linear equation is made and solved by least squares method to estimate the nonlinear phase component. The estimated component can be used for predistortion method to compensate the sweep nonlinearity.
Keywords
Sweep Nonlinearity; FMCW; FMICW; Predistortion; High Range Resolution Radar;
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  • Reference
1 Henry Stark, John W. Woods, Probability and Random Processes with Applications to Signal Processing, Third Edition, Prentice Hall, 2002.
2 R. M. Goldstein, H. A. Zebker, and C. L. Werner, "Satellite radar interferometry: Two-dimensional phase unwrapping", Radio Sci., vol. 23, no. 4, pp. 713-720, 1988.   DOI   ScienceOn
3 M. Schikorr, "High range resolution with digital stretch processing", IEEE Radar Conference, pp. 1-6, May 2008.
4 D. R. Wehner, High Resolution Radar, Second Edition, Artech House, 1995.
5 Samuel O. Piper, "Homodyne FMCW radar range resolution effects with sinusoidal nonlinearities in the frequency sweep", IEEE Radar Conference, pp. 563-567, May 1995.
6 T. Virtanen, A. Klapuri, "Separation of harmonic sound sources using Sinusoidal modeling", IEEE International Conference on Acoustics, Speech and Signal Processing, Istanbul, Turkey, 2000.
7 S. Scheiblhofer, S. Schuster, and A. Stelzer, "Highspeed FMCW radar frequency synthesizer with DDS based linearization", IEEE Microw. Wireless Compon. Lett., vol. 17, no. 5, pp. 397-399, May 2007.   DOI
8 Wang Dong Jing, Hu Xiang, and Ruan Wen Jie, "Analysis of the influence of the FM non-linearity on the range resolution of LFMCW radar", IEEE Asia Pacific Microwave Conference, pp. 714-717, 1999.
9 M. Pichler, A. Stelzer, P. Gulden, and M. Vossiek, "Influence of systematic frequency-sweep non-linearity on object distance estimation in FMCW/FSCW radar systems", European Microwave Conference, vol. 33, pp. 1203-1206, 2003.
10 A. Stelzer, K. Ettinger, J. Hoftberger, J. Fenk, and R. Weigel, "Fast and accurate ramp generation with PLL-stabilized 24-GHz SiGe VCO for FMCW and FSCW applications", IEEE MTT-S Int. Microwave Symp. Dig., vol. 2, pp. 893-896, 2003.
11 M. Vossiek, P. Heide, M. Nalezinski, and V. Magori, "Novel FMCW radar system concept with adaptive compensation of phase errors", in European Microwave Conference, 26th, vol. 1, pp. 135-139, Oct. 1996.
12 H. Ruser, V. Magori, "Sweep linearization of a microwave FMCW Doppler sensor by an ultrasonic reference", Proc. IEEE Int. Frequency Control Symp., pp. 201-206, 1997.
13 S. Scheiblhofer, S. Schuster, and A. Stelzer, "Signal model and linearization for nonlinear chirps in FMCW radar SAW-ID tag request", IEEE Trans. Microw. Theory Tech., vol. 54, pp. 1477-1483, 2006.   DOI
14 Se-Young Kim, Noh-Hoon Myung, "Wideband linear frequency modulated waveform compensation using system predistortion and phase coefficients extraction method", IEEE Microwave and Wireless Components Letters, vol. 17, no. 11, pp. 808-810, Nov. 2007.   DOI
15 R. J. Dengler, K. B. Cooper, G. Chattopadhyay, I. Mehdi, E. Schlecht, A. Skalare, C. Chen, and P. H. Siegel, "600 GHz imaging radar with 2 cm range resolution", in IEEE MTT-S Int. Microw. Symp. Dig., Honolulu, HI, pp. 1371-1374, Jun. 2007.
16 C. C. Paige, M. A. Saunders, "LSQR: An algorithm for sparse linear equations and sparse least squares", ACM Trans. Math. Soft, vol. 8, pp. 43-71, 1982.   DOI