2019/01/16 by Md. Lushanur Rahman, Rahman, Md. Lushanur, Jianjian Zhang +7 · 7 citations
Engineering · #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Networking and Internet Architecture (cs.NI) #Radar Systems and Signal Processing #Sparse and Compressive Sensing Techniques
paper · pdf · doi:10.48550/arxiv.1901.05558
openalex publication_date 2019/01/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we develop a framework for a novel perceptive mobile/cellular\nnetwork that integrates radar sensing function into the mobile communication\nnetwork. We propose a unified system platform that enables downlink and uplink\nsensing, sharing the same transmitted signals with communications. We aim to\ntackle the fundamental sensing parameter estimation problem in perceptive\nmobile networks, by addressing two key challenges associated with sophisticated\nmobile signals and rich multipath in mobile networks. To extract sensing\nparameters from orthogonal frequency division multiple access (OFDMA) and\nspatial division multiple access (SDMA) communication signals, we propose two\napproaches to formulate it to problems that can be solved by compressive\nsensing techniques. Most sensing algorithms have limits on the number of\nmultipath signals for their inputs. To reduce the multipath signals, as well as\nremoving unwanted clutter signals, we propose a background subtraction method\nbased on simple recursive computation, and provide a closed-form expression for\nperformance characterization. The effectiveness of these methods is validated\nin simulations.\n