scispace - formally typeset
Open AccessJournal ArticleDOI

MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation

TLDR
The numerical results demonstrate that MAJoRCom is capable of achieving a bit rate which is comparable to utilizing independent communication modules without affecting the radar performance, and that the proposed low-complexity decoder allows the receiver to reliably recover the transmitted symbols with an affordable computational burden.
Abstract
Dual-function radar communication (DFRC) systems implement both sensing and communication using the same hardware. Such schemes are often more efficient in terms of size, power, and cost, over using distinct radar and communication systems. Since these functionalities share resources such as spectrum, power, and antennas, DFRC methods typically entail some degradation in both radar and communication performance. In this work we propose a DFRC scheme based on the carrier agile phased array radar (CAESAR), which combines frequency and spatial agility. The proposed DFRC system, referred to as multi-carrier agile joint radar communication (MAJoRCom), exploits the inherent spatial and spectral randomness of CAESAR to convey digital messages in the form of index modulation. The resulting communication scheme naturally coexists with the radar functionality, and thus does not come at the cost of reduced radar performance. We analyze the performance of MAJoRCom, quantifying its achievable bit rate. In addition, we develop a low complexity decoder and a codebook design approach, which simplify the recovery of the communicated bits. Our numerical results demonstrate that MAJoRCom is capable of achieving a bit rate which is comparable to utilizing independent communication modules without affecting the radar performance, and that our proposed low-complexity decoder allows the receiver to reliably recover the transmitted symbols with an affordable computational burden.

read more

Citations
More filters
Journal ArticleDOI

Array signal processing

TL;DR: This book is very referred for you because it gives not only the experience but also lesson, that's not about who are reading this array signal processing book but about this book that will give wellness for all people from many societies.
Journal ArticleDOI

Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar

TL;DR: This paper proposes a joint transmit beamforming model for a dual-function multiple-input-multiple-output (MIMO) radar and multiuser MIMO communication transmitter that approaches the radar performance of the radar-only scheme, i.e., without spectrum sharing, under reasonable communication quality constraints.
Posted Content

Enabling Joint Communication and Radio Sensing in Mobile Networks -- A Survey

TL;DR: A broad picture of the motivation, methodologies, challenges, and research opportunities of realizing perceptive mobile network is presented, by providing a comprehensive survey for systems and technologies developed mainly in the last ten years.
Journal ArticleDOI

Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies

TL;DR: Dualfunction radar-communications (DFRC) designs are the focus of a large body of recent work and can lead to substantial gains in size, cost, power consumption, robustness, and performance, especially when both radar and communications operate in the same range, which is the case in vehicular applications.
Posted Content

Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond

TL;DR: In this paper, the authors provide a comprehensive overview on the background, range of key applications and state-of-the-art approaches of Integrated Sensing and Communications (ISAC).
References
More filters
Book

Elements of information theory

TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
Book

Wireless Communications

Proceedings Article

Wireless communications

TL;DR: This book aims to provide a chronology of key events and individuals involved in the development of microelectronics technology over the past 50 years and some of the individuals involved have been identified and named.

Dimensionality Reduction: A Comparative Review

TL;DR: The results of the experiments reveal that nonlinear techniques perform well on selected artificial tasks, but that this strong performance does not necessarily extend to real-world tasks.
BookDOI

Compressed sensing : theory and applications

TL;DR: In this paper, the authors introduce the concept of second generation sparse modeling and apply it to the problem of compressed sensing of analog signals, and propose a greedy algorithm for compressed sensing with high-dimensional geometry.
Related Papers (5)
Trending Questions (1)
Which channels are used for radar communication ?)?

The resulting communication scheme naturally coexists with the radar functionality, and thus does not come at the cost of reduced radar performance.