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.
Original language | English |
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State | Published - Jan 2020 |