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Stochastic Linearization of the Bearing in Adaptive Antenna Arrays with Coarse Space-Time Statistics

机译:具有粗短时空统计的自适应天线阵列中轴承的随机线性化

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摘要

We analyze the construction of a system for processing space-time signals in a radio system that takes into account technical limitations in the measurement of the bearing. A desired efficiency can be achieved by using simplified processing procedures with stochastic controlled bearing interpolation. For implementation, we use processing based on truncated (low-element) managed apertures of antenna arrays and coarse ("binary") robust signal statistics. We propose an alternative approach that involves applying the Monte Carlo method with feedback in the process of digital processing: we implement randomization and incremental stochastic control for the phase center position by sequentially activating a small number of elements during the accumulation and averaging of rough samples of the input signal. We also present quantitative results of reducing instrumental errors in bearing measurement.
机译:我们分析了用于在无线电系统中处理空间时间信号的系统的构造,该系统在轴承测量中考虑了技术限制。 通过使用具有随机受控轴承插值的简化处理程序,可以实现所需的效率。 为了实现,我们使用基于截断(低元件)管理的天线阵列和粗(“二进制”)稳健信号统计的处理。 我们提出一种替代方法,涉及在数字处理过程中应用具有反馈的蒙特卡罗方法:通过顺序激活少量元素在累积和平均的粗糙样本的累积期间实现了相位中心位置的随机化和增量随机控制 输入信号。 我们还提出了减少轴承测量中的仪器误差的定量结果。

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