A method for the analysis of ramp-inherent linearity distortions in automotive radar applications

Felix Muller, D. Steinbuch, T. Walter, R. Weigel
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引用次数: 3

Abstract

Through the use of sensors to provide information about the vehicles surroundings, driver assistance systems increase traffic safety. These sensors must not deliver wrong data due to noise or external distortion. In FMCW Radar systems additionally a highly linear ramp is essential. Hence nonlinear ramps have direct impact on the baseband spectrum. Weak targets could be covered and therefore not detected. This paper describes a method for evaluating the RF ramp linearity, based on analysis of the baseband signal. Therefore the analysis is easier, as the baseband frequency is only a few MHz depending on chirp modulation parameters and target distance. The instantaneous frequency is measured, so that deviations from the ideal slope can be detected immediately. Results are compared with simulations and high frequency measurements with a commercial availably spectrum analyzer which calculates the mean frequency deviation over a high number of ramps.
一种分析汽车雷达斜坡固有线性畸变的方法
通过使用传感器提供车辆周围环境的信息,驾驶员辅助系统提高了交通安全。这些传感器不能由于噪声或外部失真而提供错误的数据。此外,在FMCW雷达系统中,高度线性的斜坡是必不可少的。因此非线性斜坡对基带频谱有直接的影响。弱目标可以被覆盖,因此不会被发现。本文介绍了一种基于基带信号分析的射频斜坡线性度评估方法。因此,分析更容易,因为基带频率仅为几MHz,这取决于啁啾调制参数和目标距离。测量瞬时频率,以便立即检测出与理想斜率的偏差。结果与模拟和高频测量结果进行了比较,并与商用频谱分析仪进行了比较,该分析仪计算了大量斜坡上的平均频率偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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