Clutter Suppression Method of Iron Tunnel Using Cepstral Analysis for Automotive Radars

被引:8
|
作者
Lee, Han-Byul [1 ]
Lee, Jae-Eun [1 ]
Lim, Hae-Seung [1 ]
Jeong, Seong-Hee [1 ]
Kim, Seong-Cheol [2 ]
机构
[1] Mando Corp, Seongnam Si, Gyeonggi Do, South Korea
[2] Seoul Natl Univ, Radio Technol Lab, Inst New Media & Commun INMC, Dept Elect Engn, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
automotive radar; iron-tunnel; clutter suppression; adaptive cruise control (ACC);
D O I
10.1587/transcom.2016EBP3135
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we propose an efficient clutter suppression algorithm for automotive radar systems in iron-tunnel environments. In general, the clutters in iron tunnels makes it highly likely that automotive radar systems will fail to detect targets. In order to overcome this drawback, we first analyze the cepstral characteristic of the iron tunnel clutter to determine the periodic properties of the clutters in the frequency domain. Based on this observation, we suggest for removing the periodic components induced by the clutters in iron tunnels in the cepstral domain by using the cepstrum editing process. To verify the clutter suppression of the proposed method experimentally, we performed measurements by using 77 GHz frequency modulated continuous waveform radar sensors for an adaptive cruise control (ACC) system. Experimental results show that the proposed method is effective to suppress the clutters in iron-tunnel environments in the sense that it improves the early target detection performance for ACC significantly.
引用
收藏
页码:400 / 406
页数:7
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