Enhanced iron-tunnel recognition for automotive radars

Jae-Eun Lee, Hae-Seung Lim, S. Jeong, Seong-Cheol Kim, Young-Seok Choi, Hyun-Chool Shin
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引用次数: 1

Abstract

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. 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.
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增强汽车雷达的铁隧道识别
针对铁隧道杂波对目标或车辆检测性能的影响,提出了一种新的铁隧道识别方法。该方法通过分析不同路况下接收到的雷达信号的频谱特性来测量频谱扩频程度。该方法能够成功地探测铁隧道。
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Design considerations of airborne Sense & Avoid Radars Analysis of accuracy of surveillance radar image overlay by using georeferencing method Plot based target classification for ATC radars Clutter properties for a side-looking radar with planar regular and irregular subarrays Enhanced iron-tunnel recognition for automotive radars
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