Wireless Orientation in the Presence of Mutual Couplings

Hao Wang, Bin Zhang, Changzhi Li, L. Ran
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Abstract

Conventional microwave orientation methods based on the array antenna require high element isolation in most cases. In our work, a neural network-based microwave orientation method is proposed to avoid the interferences caused by the mutual couplings between elements. An end-to-end orientation prototype with a strongly coupled array, phase detectors and a non-distortion CMOS video camera is designed and the real-time target source location can be determined by the back-propagation neural network (BPNN) based on the information of phase differences. Simulation and experimental results verify the effectiveness of the proposed orientation method.
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相互耦合存在下的无线定向
传统的基于阵列天线的微波定向方法在大多数情况下要求较高的元件隔离度。在我们的工作中,提出了一种基于神经网络的微波定向方法,以避免元件之间相互耦合造成的干扰。设计了由强耦合阵列、相位检测器和无失真CMOS摄像机组成的端到端定向样机,利用基于相位差信息的反向传播神经网络(BPNN)实时确定目标源位置。仿真和实验结果验证了该定位方法的有效性。
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