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Features of Multi-target Detection Algorithm for Automotive FMCW Radar

机译:汽车FMCW雷达多目标检测算法的特点

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摘要

An algorithm is considered for estimating speeds and distances to targets in the multi-target mode as applied to the linear frequency modulation continuous wave (FMCW) car radar of a millimeter-wave range. The algorithm is based on an estimate of the fast Fourier transform (FFT) amplitude spectrum of the received microwave signals. The reasons for the occurrence of false targets when using frequency modulation continuous wave radars and the probability of their occurrence are identified. Using a computer experiment in the LabVIEW environment, the detection efficiency in additive white noise was investigated and the probability of detection was calculated for various ratios signal to the noise at the radar receiver input.
机译:考虑了一种算法,该算法用于估计多目标模式下目标的速度和距离,该算法适用于毫米波范围的线性调频连续波(FMCW)汽车雷达。该算法基于接收到的微波信号的快速傅立叶变换(FFT)幅度谱的估计。确定了使用调频连续波雷达时出现虚假目标的原因及其发生的可能性。使用LabVIEW环境中的计算机实验,研究了加性白噪声的检测效率,并计算了雷达接收器输入端各种信噪比的检测概率。

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