Abstract
This letter proposes a passive localization method with non-cooperative radiation sources and distributed receivers. In this letter, a pair of mutually inverse networks is put forward. The inverse network aims to generate more labeled data, and the original network is trained with the generated data to learn the mapping from the observed data to the target location. Experimentally, the results show the proposed method can achieve better performance with one-sixteenth the amount of training data than the network in same structure. The proposed method has the potential in outdoor passive localization with communication base stations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
