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NLOS mitigation in FMCW RADAR with CLEAN peak detection

机译:带有CLEAN峰值检测的FMCW RADAR中的NLOS缓解

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A secondary frequency modulated continuous wave (FMCW) RADAR with two-way ranging can be used for indoor and outdoor positioning with high precision and accuracy. However, non-line-of-sight (NLOS) conditions lead to multipath effects that have a negative impact on the quality of ranging and positioning measurements, if the spectral analysis is not able to detect the correct line-of-sight (LOS) path. This work proposes an improved peak detection algorithm - based on CLEAN - that works on the base band spectra in each RADAR base station, in order to enable LOS path detection. In a simple ranging scenario at 3 m distance, the conventional parabolic interpolation for sub-bin resolution exhibits errors of up to 1.5 m (50%) for a large fraction of the measurements. The CLEAN algorithm, however, improves upon this by drastically reducing the number of outliers. In a positioning scenario, the parabolic interpolation exhibits errors between 0.2-0.8 m, the CLEAN algorithm reduces this error to below 0.5 m.
机译:具有双向测距的二次调频连续波(FMCW)RADAR可用于室内和室外定位,具有高精度和高精度。但是,如果光谱分析无法检测到正确的视线(LOS),则非视线(NLOS)条件会导致多径效应,对测距和定位测量的质量产生负面影响小路。这项工作提出了一种基于CLEAN的改进的峰值检测算法,该算法可在每个RADAR基站中的基带频谱上工作,以实现LOS路径检测。在3 m距离的简单测距方案中,用于子箱分辨率的常规抛物线插值法在很大一部分测量中显示出高达1.5 m(50%)的误差。但是,CLEAN算法通过显着减少异常值的数量来改进此方法。在定位情况下,抛物线插值的误差在0.2-0.8 m之间,CLEAN算法将该误差减小到0.5 m以下。

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