Lanzhou University of Technology | China
Guannan Li is a dedicated student at Lanzhou University of Technology, pursuing his M.S. degree in communication and information systems after earning his B.E. in computer and communication from the same institution. His research focuses on integrated sensing and communication, with particular expertise in array signal processing and direction-of-arrival (DOA) estimation for narrowband, broadband, and coherent signals. Guannan has made significant contributions by developing innovative signal models that integrate interference suppression mechanisms, forming the foundation for advanced DOA estimation frameworks. His recent work on joint MWC and off-grid sparse Bayesian learning based on augmented multi-subarray dilated arrays has been published in the journal Physical Communication. According to Google Scholar, he has achieved an h-index of 1, with 1 document and 1 citation to his credit, reflecting the growing academic impact of his research. Guannan continues to explore novel methodologies that enhance the accuracy and efficiency of wideband and coherent signal processing systems. His dedication to advancing communication technologies and signal modeling underscores his potential as a promising researcher in the field of modern communication engineering.