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Real time extraction of tracking error signal in IR seeker with a plus stationary reticle

机译：具有加上固定掩模版的红外面警员跟踪误差信号的实时提取

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摘要

In non-imaging IR seekers, the reticle will modulate the received radiation from the target. The modulation signal contains the tracking error signal (TES), which is the main signal in IR seeker. In IR seeker with a plus stationary reticle, the accuracy of TES extraction may be affected by several items, such as noise from engines, shine background, jamming and changes in the radius of target image spot (TIS). These reasons will decrease the accuracy of target positioning and may push the target to the nonlinear region. In the nonlinear region, the target will be lost although it remains in the field of view (FOV). In this paper, we introduce a new algorithm to extend the linear region, and then, we use the cross-correlation function to decrease the undesirable effects of noise and changes in the radius of TIS. All algorithms have been simulated in Matlab and implemented in Raspberry Pi 3 Model B +. The simulation results showed that the new algorithm with cross-correlation extend the region more than 100 times on the reticle plane, where the error in phase less than 2 degrees compared with other algorithms in this field, especially in the presence of noise. The implementation using Raspberry Pi was in real time because the total execution time for one period was less than 3 ms, which is less than strict timing window in our problem.
机译：在非成像红外寻求者中，掩模版将调制来自目标的接收的辐射。调制信号包含跟踪误差信号（TES），其是IR Seeker中的主信号。在IR寻求稳定性墨西哥灯罩中，TES提取的准确性可能受几项的影响，例如来自引擎的噪音，闪耀背景，卡住和目标图像点半径的变化（TIS）。这些原因将降低目标定位的准确性，并且可以将目标推向非线性区域。在非线性区域中，虽然它仍然存在于视野（FOV）中，但目标将丢失。在本文中，我们介绍了一种新的算法来扩展线性区域，然后，我们使用互相关函数来降低噪声的不良影响和TIA半径的变化。所有算法都已在MATLAB中模拟，并在覆盆子PI 3型B +中实现。仿真结果表明，互相关的新算法在掩模版平面上大于100倍的区域，与该字段中的其他算法相比，相位小于2度的误差，特别是在存在噪声。使用raspberry pi的实现实时，因为一个时期的总执行时间小于3 ms，这在我们问题中的严格定时窗口不到严格的时序窗口。

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