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


Vol. 41,  No. 2, pp. 254-262, Feb.  2016


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  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.

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  Cite this article

[IEEE Style]

H. Lee, J. Choi, J. Lee, Y. Kim, Y. Kim, S. Kim, "Interference Mitigation by High-Resolution Frequency Estimation Method for Automotive Radar Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 2, pp. 254-262, 2016. DOI: .

[ACM Style]

Han-Byul Lee, Jung-Hwan Choi, Jong-Ho Lee, Yong-Hwa Kim, YoungJoon Kim, and Seong-Cheol Kim. 2016. Interference Mitigation by High-Resolution Frequency Estimation Method for Automotive Radar Systems. The Journal of Korean Institute of Communications and Information Sciences, 41, 2, (2016), 254-262. DOI: .

[KICS Style]

Han-Byul Lee, Jung-Hwan Choi, Jong-Ho Lee, Yong-Hwa Kim, YoungJoon Kim, Seong-Cheol Kim, "Interference Mitigation by High-Resolution Frequency Estimation Method for Automotive Radar Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 2, pp. 254-262, 2. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880