박사

Efficient parameter estimation methods for automotive radar systems

이한별 2016년
논문상세정보
' Efficient parameter estimation methods for automotive radar systems' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 응용 물리
  • Automotive radar
  • Direction-of-arrival
  • Interference
  • Suppression
  • clutter
  • fmcw
  • high-resolution
  • mitigation
  • signal processing
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
4,990 0

0.0%

' Efficient parameter estimation methods for automotive radar systems' 의 참고문헌

  • W. Menzel, “Millimeter-wave radar for civil applications,” in Proc. IEEE Radar Conference (EuRAD), pp. 89–92, 2010.
  • T. Abe, T. Kobayashi, and S. Imai: “Harmonics tracking and pitch extraction based on instantaneous frequency,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 756-759, 1995.
  • S. Watts, “Cell-averaging CFAR gain in spatially correlated k-distributed clutter,” IEE Proceedings-Radar, Sonar and Navigation, vol.143, no.5, pp. 321-327, 1996.
  • S. J. Prosser, “Automotive sensors: past, present and future,” Journal of Physics, vol.76, no.1, pp.1-6, 2007.
  • S. H. Jeong, J. N. Oh, and K. H. Lee, “Design of 24 GHz radar with subspace-based digital beam forming for acc stop-and-go system,” ETRI journal, vol.32, no.5, pp.827–830, 2010.
  • S. Blake, “Os-cfar theory for multiple targets and nonuniform clutter,” IEEE trans. on Aerospace and Electronic Systems, vol. 24, no. 6, pp. 785– 790, 1988.
  • R. Schmidt, “Multiple emitter location and signal parameter estimation,” IEEE trans. on Antennas and Propagation, vol.34, no.3, pp.276–280, 1986.
  • R. Roy and T. Kailath, “Esprit-estimation of signal parameters via rotational invariance techniques,” IEEE trans. on Acoustics, Speech and Signal Processing, vol. 37, no. 7, pp. 984–995, 1989.
  • R. Randall, “A history of cepstrum analysis and its application to mechanical problems,” in Proc. Int. Conf. Surveillance 7, pp. 1-16, 2013.
  • R. Randall, N. Sawalhi, and M. Coats: “A comparison of methods for separation of deterministic and random signals,” International Journal of Condition Monitoring, vol.1, no.1, pp. 11-19, 2011.
  • R. Okuda, Y. Kajiwara, and K. Terashima, “"A survey of technical trend of adas and autonomous driving,”" in Proc. IEEE VLSI Technology, Systems and Application (VLSI-TSA), Proceedings of Technical Program-2014 International Symposium on, pp.1-4, 2014
  • R. Kapoor, G. Tsihrintzis, and N. Nandhakumar: “Detection of obscured targets in heavy-tailed radar clutter using an ultra-wideband (UWB),” in Proc. IEEE conf. Signals, Systems and Computers, Pacific Grove, pp. 863- 867, 1996.
  • R. H. Rasshofer and K. Gresser, “Automotive radar and lidar systems for next generation driver assistance functions,” Adv. Radio Sci., vol. 3, pp.205- 209, 2005.
  • R. D. Kent: “Acoustic analysis of speech,” (Singular Publishing Group, 2002)
  • P. Borghesani, P. Pennacchi, R. Randall, N. Sawalhi, and R. Ricci: “Application of cepstrum pre-whitening for the diagnosis of bearing faults under variable speed conditions,” Mechanical Systems and Signal Processing, vol.36, no.2, pp. 370-384, 2013.
  • M. Wax and T. Kailath, “Detection of signals by information theoretic criteria,” IEEE trans. on Acoustics, Speech and Signal Processing, vol. 33, no. 2, pp. 387–392, 1985.
  • M. Schneider, “Automotive radar–status and trends,” In Proc. German microwave conference, pp. 144–147, 2005.
  • M. Reiher and B. Yang, “On the occurrence of ghost targets in linear fmcw radar: A worst case study,” in Proc. IEEE Int. Radar Symposium, pp. 1–4, 2008.
  • M. I. Skolnik : “Introduction to radar systems,” (McGraw-Hill, 3rd edn. 2001)
  • M. Haardt and J. A. Nossek, “Unitary esprit: How to obtain increased estimation accuracy with a reduced computational burden,” IEEE trans. on Signal Processing, vol. 43, no. 5, pp. 1232–1242, 1995.
  • M. Goppelt, H. Bl ocher, and W. Menzel, “Automotive radar–investigation of mutual interference mechanisms,” Advances in Radio Science, vol. 8, pp. 55–60, 2010.
  • M. E. Russell, A. Crain, A. Curran, R. A. Campbell, C. A. Drubin, and W. F. Miccioli, “Millimeter-wave radar sensor for automotive intelligent cruise control (icc),” IEEE trans. on Microwave Theory and Techniques, vol.45, no.12, pp.2444–2453, 1997.
  • M. Broy, “Challenges in automotive software engineering,” in Proc. Int. conference on Software engineering, ACM, pp.33-42, 2006.
  • L. Mu, T. Xiangqian, S. Ming, and Y. Jun, “Research on key technologies for collision avoidance automotive radar,” in Proc. IEEE Intelligent Vehicles Symposium, pp. 233–236, 2009.
  • J.-H. Zhang, G.-S. Liu, H. Gu, and W.-M. Su, “A novel transmit signal based on high range-resolution concept for flar or aicc system applications,” in Proc. CIE International Conference on Radar, 2001.
  • J. Wenger, “Automotive radar-status and perspectives,” In Proc. compound Semicondoctor integrated Circuit Symposium, CSIC’05, IEEE, pp.1-4, 2005.
  • J. E. Lee, et al. “Enhanced iron-tunnel recognition for automotive radars,” IEEE trans. on Vehicular Technology, 2015.
  • I. Matsunami and A. Kajiwara: “Clutter suppression scheme for vehicle radar,” in Proc. IEEE Radio and Wireless Symposium (RWS), pp. 320-323, 2010.
  • H. Winner, and M. Schopper, “Adaptive cruise control,” Handbuch Fahrerassistenzsysteme. Springer Fachmedien Wiesbaden, pp.859-891, 2015.
  • H. Rohling, “Some radar topics: waveform design, range cfar and target recognition,” in Advances in Sensing with Security Applications. Springer, pp. 293–322, 2006.
  • H. Krim, and M. Viberg, “Two decades of array signal processing research: the parametric approach,” IEEE signal Processing Magazine, vol.13, no.4, pp.65-94, 1996.
  • H. Akaike, “A new look at the statistical model identification,” IEEE trans. on Automatic Control, vol.19, no.6, pp716-723, 1974.
  • G. M. Brooker, “Mutual interference of millimeter-wave radar systems,” IEEE trans. on Electromagnetic Compatibility, vol.49, no.1, pp.170–181, 2007.
  • G. Leen and D. Heffernan, “Expanding automotive electronic systems,” IEEE trans. on Computer, vol.35, no.1, pp.88-93, 2002.
  • E. Hyun and J. H. Lee, “A meothod for multi-target range and velocity detection in automotive fmcw radar,” in Proc. IEEE Int. Conference on Intelligent Transportation Systems, ITSC’09, pp. 1–5, 2009.
  • E. Conte, and M. Longo, “Characterisation of radar clutter as a spherically invariant random process,” in IEE Proc. F (Communications, Radar and Signal Processing), vol.134, no.2, pp.191-197, 1984.
  • D. Geronimo. A. Lopez, A.D. Sappa, and T. Graf, “Survey of pedestrian detection for advanced driver assistance systems,” IEEE trans. on Pattern Analysis and Machine Intelligence, vol.32, no.7, 1239-1258, 2010.
  • B. Borgert, M. Healy, and J. Tukey: “The quefrency analysis of time series for echoes: cepstrum, pseudo-autocovariance, cross-cepstrum and saphe craking, ” in Proc. symp. on time series analysis, pp. 209-243, 1963.
  • A.G. Jaffer, “Maximum likelihood direction finding of stochastic sources: A separable solution, “ in Proc. ICASSP 88, vol.5, pp.2893,2896, 1988.
  • A. Vahidi, and A. Eskandarian, “Research advances in intelligent collision avoidance and adaptive cruise control,” IEEE trans. on Intelligent Transportation Systems, vol.4, no.3, pp.143-153, 2003.
  • A. Kawakubo, S. Tokoro, Y. Yamada, and T. Kawasaki, “Electronicallyscanning millimeter-wave Radar for forward objects detection,” SAE Congress, pp.127-134, 2004.
  • A. G. Stove: “Linear FMCW radar techniques,” IEE Proceedings F (Radar and Signal Processing), vol.139, no.5, pp. 343-350, 1992.
  • A. Eriksson, P. Stoica, and T. Soderstrom, “Markov-based eigenanalysis method for frequency estimation,” IEEE trans. on Signal Processing, vol. 42, no. 3, pp. 586–594, 1994.