Framework for a Perceptive Mobile Network Using Joint Communication and Radar Sensing

被引:173
作者
Rahman, Md Lushanur [1 ]
Zhang, J. Andrew [1 ]
Huang, Xiaojing [1 ]
Guo, Y. Jay [1 ]
Heath, Robert W., Jr. [2 ]
机构
[1] Univ Technol Sydney, Sch Elect & Data Engn, Global Big Data Technol Ctr GBDTC, Sydney, NSW, Australia
[2] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
关键词
WAVE-FORM DESIGN; MIMO RADAR; SIGNALS; SYSTEMS;
D O I
10.1109/TAES.2019.2939611
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this paper, we develop a framework for a novel perceptive mobile/cellular network that integrates radar sensing function into the mobile communication network. We propose a unified system platform that enables downlink and uplink sensing, sharing the same transmitted signals with communications. We aim to tackle the fundamental sensing parameter estimation problem in perceptive mobile networks, by addressing two key challenges associated with sophisticated mobile signals and rich multipath in mobile networks. To extract sensing parameters from orthogonal frequency division multiple access and spatial division multiple access communication signals, we propose two approaches to formulate it to problems that can be solved by compressive sensing techniques. Most sensing algorithms have limits on the number of multipath signals for their inputs. To reduce the multipath signals, as well as removing unwanted clutter signals, we propose a background subtraction method based on simple recursive computation, and provide a closed-form expression for performance characterization. The effectiveness of these methods is validated in simulations.
引用
收藏
页码:1926 / 1941
页数:16
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