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Optoelectronic implementation of a 256-channel sonar adaptive-array processor

机译:256通道声纳自适应阵列处理器的光电实现

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摘要

We present an optoelectronic implementation of an adaptive-array processor that is capable of performing beam forming and jammer nulling in signals of wide fractional bandwidth that are detected by an array of arbitrary topology. The optical system makes use of a two-dimensional scrolling spatial light modulator to represent an array of input signals in 256 tapped delay lines, two acousto-optic modulators for modulating the feedback error signal, and a photorefractive crystal for representing the adaptive weights as holographic gratings. Gradient-descent learning is used to dynamically adapt the holographic weights to optimally form multiple beams and to null out multiple interference sources, either in the near field or in the far field. Space-integration followed by differential heterodyne detection is used for generating the system's output. The processor is analyzed to show the effects of exponential weight decay on the optimum solution and on the convergence conditions. Several experimental results are presented that validate the system's capacity for broadband beam forming and jammer nulling for linear and circular arrays.
机译:我们提出了一种自适应阵列处理器的光电实现,该处理器能够在由任意拓扑的阵列检测到的宽分数带宽的信号中执行波束形成和干扰归零。光学系统利用二维滚动空间光调制器来表示256抽头延迟线上的输入信号阵列,两个用于调制反馈误差信号的声光调制器以及用于将自适应权重表示为全息的光折射晶体光栅。梯度下降学习用于动态调整全息权重,以最佳地形成多束光束,并消除近场或远场中的多个干扰源。使用空间积分后跟差分外差检测来生成系统输出。分析处理器以显示指数权重衰减对最佳解和收敛条件的影响。提出了一些实验结果,验证了该系统用于线性和圆形阵列的宽带波束形成和干扰归零的能力。

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