Enhanced Iron-Tunnel Recognition for Automotive Radars

被引：23

作者：

Lee, Jae-Eun ^{[1
,2
]}

Lim, Hae-Seung ^{[1
]}

Jeong, Seong-Hee ^{[1
]}

Kim, Seong-Cheol ^{[2
]}

Shin, Hyun-Chool ^{[3
]}

机构：

[1] Mando Corp, Songnam 463400, South Korea

[2] Seoul Natl Univ, Dept Elect & Comp Engn, Seoul 151744, South Korea

[3] Soongsil Univ, Dept Elect Engn, Seoul 156742, South Korea

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2016年 / 65卷 / 06期

基金：

新加坡国家研究基金会;

关键词：

Adaptive cruise control (ACC); automotive radar; iron tunnel; vehicle; TARGET;

D O I：

10.1109/TVT.2015.2460992

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 a novel iron-tunnel recognition method to overcome the deterioration of the target or vehicle detection performance due to iron-tunnel clutters. Although a few studies on the reflection and diffraction on road surfaces have been conducted for automotive radar sensors, most of these studies did not consider the situation in which structures with larger reflection, such as an iron tunnel, are densely distributed. The proposed method measures the degree of spectral spreading through the analysis of the spectrum characteristics of the received radar signal under different road conditions. The proposed method can successfully detect iron tunnels. In addition, experimental results show that early detection and missing problem of a forward target vehicle in an iron tunnel under adaptive cruise control ( ACC) is improved.

引用

页码：4412 / 4418

页数：7

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