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A Feasibility Study on Multiple Frequency CW for Landing Radar

机译:登陆雷达多频连续波的可行性研究

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Landing radar that measures the velocity and the altitude of the airframe has been developed for the sensor, which helps safe landing. In applications where the observation range is limited to a very short range such as the final stage of landing, we can expect to obtain a high signal-to-noise (S/N) ratio. In these situations, the multiple frequency continuous wave (CW) with MUSIC (MUltiple SIgnal Classification) algorithm is considered to be useful for achieving a high resolution with a low sampling rate of several tens of kilohertz and relatively low-speed signal processing. In this paper, the multiple frequency CW with 1D and 2D MUSIC algorithm to measure the altitude is described. The simulation shows that the bias errors in both methods are less than 1% of the altitudes. The random errors of 1D MUSIC and 2D MUSIC are 1.3%-1.7% and 0.8%-1.0%, respectively. The random errors of 2D MUSIC are smaller than those of 1D MUSIC. We also show the fundamental experimental results obtained in an athletic field using the radar fitted on a cage lifted by a crane. We could obtain stable estimation results on altitudes between 1.0m and 7.0m. These results indicate that the multiple frequency CW radar is one of the effective tools for landing radar in the final phase of landing.
机译:为传感器开发了测量机身速度和高度的着陆雷达,有助于安全着陆。在观测范围仅限于非常短的范围(例如降落的最后阶段)的应用中,我们可以期望获得较高的信噪比(S / N)。在这些情况下,具有MUSIC(多重信号分类)算法的多频连续波(CW)被认为对于以几十千赫兹的低采样率和相对低速的信号处理实现高分辨率是有用的。在本文中,描述了使用一维和二维MUSIC算法来测量高度的多频连续波。仿真表明,两种方法的偏差误差均小于高度的1%。一维音乐和二维音乐的随机误差分别为1.3%-1.7%和0.8%-1.0%。 2D MUSIC的随机误差小于1D MUSIC的随机误差。我们还展示了使用安装在由起重机举起的笼子上的雷达在运动场上获得的基本实验结果。我们可以得到1.0m至7.0m高度的稳定估计结果。这些结果表明,多频连续波雷达是降落最后阶段降落雷达的有效工具之一。

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