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.
|Title of host publication||RWW 2020 - 2020 IEEE Radio and Wireless Symposium|
|Publisher||IEEE Computer Society|
|Number of pages||3|
|State||Published - Jan 2020|
|Event||2020 IEEE Radio and Wireless Symposium, RWW 2020 - San Antonio, United States|
Duration: Jan 26 2020 → Jan 29 2020
|Name||IEEE Radio and Wireless Symposium, RWS|
|Conference||2020 IEEE Radio and Wireless Symposium, RWW 2020|
|Period||01/26/20 → 01/29/20|
- Mutual coupling
- Neural networks.
- Phase detection
- RF signals