增强汽车雷达的铁隧道识别

2015 16th International Radar Symposium (IRS) Pub Date : 2015-08-27 DOI:10.1109/IRS.2015.7226319

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

摘要

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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Enhanced iron-tunnel recognition for automotive radars

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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2015 16th International Radar Symposium (IRS)

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