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Novel method for ambiguity elimination in the linear FMCW radar

机译:线性FMCW雷达中消除歧义的新方法

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Aiming at solving the distance and velocity decouple problem for moving target in linear FMCW (LFMCW) radar signal processing, a multiple repetition frequency waveform is adopted and a Doppler frequency cluster (DFS) algorithm is proposed, which is capable of recovering true velocity from the coupled velocity estimation directly. Aiming at solving resolution of multiple targets, a match algorithm based on mean square error is also proposed. The combination of the above two methods realizes distance and velocity decoupling for multiple moving targets. The result of simulation verified the effectiveness of the methods, the velocity estimate performance of DFS algorithm improve 2.5 dB contrast to Chinese remainder theorem.
机译:为了解决线性FMCW(LFMCW)雷达信号处理中移动目标的距离和速度解耦问题,采用了多次重复频率波形,并提出了一种多普勒频率聚类(DFS)算法,该算法能够从雷达目标中恢复真实速度。直接耦合速度估计。针对解决多个目标的分辨率问题,提出了一种基于均方误差的匹配算法。两种方法的结合实现了多个运动目标的距离和速度解耦。仿真结果验证了该方法的有效性,DFS算法的速度估计性能与中文余数定理相比提高了2.5 dB。

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