FMCW radar with broadband communication capability

Barrenechea, P.; Elferink, Frans; Janssen, J.

doi:10.1109/eurad.2007.4404954

Cited by 41 publications

(22 citation statements)

References 1 publication

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“…Communication capabilities of FMCW are discussed in [44] and [45]. However, the key drawback of FMCW is the limited capability to carry data and so FMCW alone is not a good basis for the challenging communication data rate needs of 6G systems.…”

Section: ) Papr and Rf Impactmentioning

confidence: 99%

Joint Design of Communication and Sensing for Beyond 5G and 6G Systems

2021

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The 6G vision of creating authentic digital twin representations of the physical world calls for new sensing solutions to compose multi-layered maps of our environments. Radio sensing using the mobile communication network as a sensor has the potential to become an essential component of the solution. With the evolution of cellular systems to mmWave bands in 5G and potentially sub-THz bands in 6G, small cell deployments will begin to dominate. Large bandwidth systems deployed in small cell configurations provide an unprecedented opportunity to employ the mobile network for sensing. In this paper, we focus on the major design aspects of such a cellular joint communication and sensing (JCAS) system. We present an analysis of the choice of the waveform that points towards choosing the one that is best suited for communication also for radar sensing. We discuss several techniques for efficiently integrating the sensing capability into the JCAS system, some of which are applicable with NR air-interface for evolved 5G systems. Specifically, methods for reducing sensing overhead by appropriate sensing signal design or by configuring separate numerologies for communications and sensing are presented. Sophisticated use of the sensing signals is shown to reduce the signaling overhead by a factor of 2.67 for an exemplary road traffic monitoring use case. We then present a vision for future advanced JCAS systems building upon distributed massive MIMO and discuss various other research challenges for JCAS that need to be addressed in order to pave the way towards natively integrated JCAS in 6G.

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Section: ) Papr and Rf Impactmentioning

confidence: 99%

Joint Design of Communication and Sensing for Beyond 5G and 6G Systems

2021

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“…a m T e 9 I g T c J J Q p 7 J K 3 l z U u f F e X c + F q 0 F J 5 8 5 J n / g f P 4 A I 4 + R v w = = < / l a t e x i t > o i,k < l a t e x i t s h a 1 _ b a s e 6 4 = " J p 9 a l Z b m 8 8 Recently, as terrestrial communication systems have started to operate in bands traditionally reserved for radar, there has been a growing interest in the convergence of communication and sensing [11], [12], where communication signals at high carrier frequencies are used for sensing the environment [13], [14] or where radar signals are used for communicating information [15], [16]. Automotive radar, which uses a large bandwidth at high carrier frequencies is an ideal technology for joint communication and sensing.…”

Section: Introductionmentioning

confidence: 99%

Distributed Radar-aided Vehicle-to-Vehicle Communication

Aydoğdu

Liu

Masouros

et al. 2020

2020 IEEE Radar Conference (RadarConf20)

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Establishing high-rate vehicle-to-vehicle (V2V) links with narrow beamwidth is challenging due to the varying network topology. A too narrow beam may miss the intended receiver, while a too broad beam leads to SNR loss. We propose to harness the high accuracy of radar detections to establish V2V links. In particular, we develop a distributed method where each vehicle associates local radar detections with GPS information communicated by nearby vehicles. The method relies on the transformation of relative to global coordinates, the definition of a suitable metric, and solving an optimal assignment problem. We demonstrate that the proposed approach avoids time-consuming channel estimation and provides high SNR, under the condition that reliable relative and absolute location information is present.

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“…Summarising the previous research in this field, the integrated waveforms can be divided into three categories. The first category is the radar waveform, which is modulated by communication data [1][2][3]. The second category is the communication waveform changed as a new waveform, which has the ability of the radar detection function [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Energy leakage analysis of the radar and communication integrated waveform

Chen

Liu

et al. 2018

IET signal process.

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When minimum shift keying (MSK)'s carrier is changed as the linear frequency modulation (LFM) signal, it is called as MSK-LFM for short. It is a new type of the radar-communication multifunctional integrated waveform. Under the assumption that the bandwidth of the radar receiver is equal to that of the LFM signal, the energy leakage of MSK-LFM is analysed. The trade-off between the number of modulated bits and the energy leakage is derived analytically. The derived equation demonstrates that the relationship between the radar detection performance and digital communication performance of MSK-LFM, which also gives the principle of designing the integrated waveform. To better ensure the radar detection performance, a method is proposed to reduce the energy leakage at the expense of sacrificing certain communication capacity.

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FMCW radar with broadband communication capability

Cited by 41 publications

References 1 publication

Joint Design of Communication and Sensing for Beyond 5G and 6G Systems

Joint Design of Communication and Sensing for Beyond 5G and 6G Systems

Distributed Radar-aided Vehicle-to-Vehicle Communication

Energy leakage analysis of the radar and communication integrated waveform

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