Harmonic clutter recognition and suppression for automotive radar sensors

Jae-Eun Lee, Hae-Seung Lim, Seong-Hee Jeong, Hyun-Chool Shin, Seong-Wook Lee and Seong-Cheol Kim

International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 9, 1550147717729793

Abstract: In this article, we propose a novel harmonic clutter recognition and suppression method to overcome the deterioration of a target- or vehicle-detection performance due to harmonic clutters. Although several studies have been performed on the reflection and diffraction on road surfaces for automotive radar sensors, most of them did not consider the case where metallic structures such as iron tunnels with greater reflection are densely distributed. The proposed method measures the periodicity of harmonic clutters by analyzing the spectral characteristics of the received radar signal with various road conditions. The proposed method can successfully recognize harmonic clutters. In addition, experimental results show that early detection of a target vehicle in an iron tunnel under adaptive cruise control is improved using the proposed clutter suppression method.

Keywords: Automotive radar; clutter recognition; clutter suppression; frequency-modulated continuous waves; harmonic clutter (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1550147717729793 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:9:p:1550147717729793

DOI: 10.1177/1550147717729793

Access Statistics for this article

More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().