Browse > Article
http://dx.doi.org/10.7840/kics.2016.41.2.254

Interference Mitigation by High-Resolution Frequency Estimation Method for Automotive Radar Systems  

Lee, Han-Byul (Institute of New Media and Communications, Dept. of Electrical and Computer Engineering, Seoul National University)
Choi, Jung-Hwan (Institute of New Media and Communications, Dept. of Electrical and Computer Engineering, Seoul National University)
Lee, Jong-Ho (Dept. of Electrical Engineering, Gachon University)
Kim, Yong-Hwa (Dept. of Electrical Engineering, Myunggi University)
Kim, YoungJoon (Institute of New Media and Communications, Dept. of Electrical and Computer Engineering, Seoul National University)
Kim, Seong-Cheol (Institute of New Media and Communications, Dept. of Electrical and Computer Engineering, Seoul National University)
Abstract
With the increased demand for automotive radar systems, mutual interference between vehicles has become a crucial issue that must be resolved to ensure better automotive safety. Mutual interference between frequency modulated continuous waveform (FMCW) radar system appears in the form of increased noise levels in the frequency domain and results in a failure to separate the target object from interferers. The traditional fast fourier transform (FFT) algorithm, which is used to estimate the beat frequency, is vulnerable in interference-limited automotive radar environments. In order to overcome this drawback, we propose a high-resolution frequency estimation technique for use in interference environments. To verify the performance of the proposed algorithms, a 77GHz FMCW radar system is considered. The proposed method employs a high-resolution algorithm, specially the multiple signal classification and estimation of signal parameters via rotational invariance techniques, which are able to estimate beat frequency accurately.
Keywords
Automotive radar; Frequency modulated continuous waveform (FMCW); Mutual interference; High-resolution;
Citations & Related Records
연도 인용수 순위
  • Reference
1 N. Kaempchen, B. Schiele, and K. Dietmayer, "Situation assessment of an autonomous emergency brake for arbitrary vehicle-to-vehicle collision scenarios," IEEE Trans. Intell. Transp. Syst., vol. 10, no. 4, pp. 678-687, Dec. 2009.   DOI
2 R. Okuda, Y. Kajiwara, and K. Terashima, "A survey of technical trend of adas and autonomous driving," in IEEE VLSI-TSA, pp. 1-4, Apr. 2014.
3 L. Mu, T. Xiangqian, S. Ming, and Y. Jun, "Research on key technologies for collision avoidance automotive radar," in 2009 IEEE Intell. Veh. Symp., pp. 233-236, Xi'an, China, Jun. 2009.
4 A. L. Swindlehurst, B. Ottersten, R. Roy, and T. Kailath, "Multiple inavariance ESPRIT," IEEE Trans. Signal Process., vol. 40, no. 4, pp. 867-881, Apr. 1992.   DOI
5 G. M. Brooker, "Mutual interference of millimeter-wave radar systems," IEEE Trans. Electromagnetic Compatibility, vol. 49, no. 1, pp. 170-181, Feb. 2007.   DOI
6 R. Schmidt, "Multiple emitter location and signal parameter estimation," IEEE Trans. Ant. Propaga., vol. 34, no. 3, pp. 276-280, Mar. 1986.   DOI
7 R. Roy and T. Kailath, "Esprit-estimation of signal parameters via rotational invariance techniques," IEEE Trans. Acoustics, Speech and Signal Process., vol. 37, no. 7, pp. 984-995, Jul. 1989.   DOI
8 A. Eriksson, P. Stoica, and T. Soderstrom, "Markov-based eigenanalysis method for frequency estimation," IEEE Trans. Signal Process., vol. 42, no. 3, pp. 586-594, Mar. 1994.   DOI
9 M. Wax and T. Kailath, "Detection of signals by information theoretic criteria," IEEE Trans. Acoustics, Speech and Signal Process., vol. 33, no. 2, pp. 387-392, Apr. 1985.   DOI
10 N. Levanon, "Detection loss due to interfering targets in ordered statistics cfar," IEEE Trans. Aerospace and Electronic Syst., vol. 24, no. 6, pp. 678-681, Nov. 1988.   DOI
11 M.-S. Lee and Y.-H. Kim, "An efficient multitarget tracking algorithm for car applications," IEEE Trans. Ind. Electron., vol. 50, no. 2, pp. 397-399, Apr. 2003.