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首页> 外文期刊>Chinese Journal of Electronics >High Accuracy Velocity Measurement Based on Keystone Transform Using Entropy Minimization
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High Accuracy Velocity Measurement Based on Keystone Transform Using Entropy Minimization

机译：基于梯形失真最小熵的高精度速度测量

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摘要

Velocity measurement is a basic task of radars. The target velocity is usually estimated according to the Doppler frequency shift. While traditional Doppler methods are unsuitable for high-speed targets, since the serious range migration between adjacent echoes causes phase wrapping. The serious range migration also interferes the coherent integration to improve the accuracy of the velocity estimation. A velocity measurement method based on Keystone transform using entropy minimization is studied to solve this problem. This method applies Keystone transform to the echo to calculate the ambiguity degree with the help of entropy minimization. The proposed algorithm estimates the ambiguity degree with no error at a wider range of SNR than the traditional method. The ambiguous Doppler frequency is obtained according to the slow time. Theoretical analyses and simulations show that this method has very high precision.
机译：速度测量是雷达的基本任务。通常根据多普勒频移估算目标速度。传统的多普勒方法不适用于高速目标，因为相邻回波之间的严重距离偏移会引起相位包裹。严重的距离偏移也会干扰相干积分，从而提高速度估算的准确性。为了解决这个问题，研究了一种基于Keystone变换的熵最小化速度测量方法。该方法将Keystone变换应用于回波以借助熵最小化计算歧义度。与传统方法相比，所提出的算法可在较宽的SNR范围内估计无歧义度。根据缓慢的时间获得模糊的多普勒频率。理论分析和仿真表明，该方法具有很高的精度。

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