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检测淹没在地杂波加接收机噪声中的运动目标在MTI(动目标显示)雷达理论中是一个老问题。这就表明MTI由一个杂波抑制滤波器后接一个多卜勒滤波器组成。本文中,地杂波抑制滤波器用限幅器后接一个三脉冲对消器的组合来近似。多卜勒滤波器具有离散傅里叶变换(DFT)处理器或最大熵(ME)处理器的性质。考虑到雷达信号处理中的短时数据记录,使用DFT和ME处理器的MTI接收机的性能必须对所有下述的短时数据长度情况进行检验:(1)杂波输入;(2)信号加杂波加噪声输入。DFT滤波器的输入用适当的窗函数进行加权。在ME处理器的情况下,预测误差滤波器的阶数是变化的。已经观察到,ME处理器比DFT处理器有效。
Detecting moving objects that are submerged in ground clutter plus receiver noise is an old problem in MTI (Moving Target Display) radar theory. This shows that the MTI consists of a clutter filter followed by a Doppler filter. In this paper, the clutter suppression filter is approximated by a limiter followed by a three-pulse canceller combination. Doppler filters have the property of discrete Fourier transform (DFT) processors or maximum entropy (ME) processors. Considering short-term data recording in radar signal processing, the performance of MTI receivers using DFT and ME processors must verify all of the following short data length conditions: (1) clutter input; (2) signal plus Noise plus noise input. The DFT filter input is weighted with the appropriate window function. In the case of the ME processor, the order of the prediction error filter is varied. It has been observed that ME processors are more efficient than DFT processors.