Mutual Information based Partial Band Coexistence for Joint Radar and Communication System

Tian, Tuanwei; Zhang, Tianxian; Kong, Lingjiang; Cui, Guolong; Wang, Yuanhang

doi:10.1109/radar.2019.8835671

Cited by 17 publications

(16 citation statements)

References 18 publications

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“…First, we examine the accuracies of the approximations in (9), (10), (19), (20), (27) and (28), as they are used for the derivations of the optimum values later on. To do this, we compare DP and U using the approximate results in (10), (20) and (28) with the detection threshold determined by (9), (19) and (28) with the simulated values using the detection threshold determined by (8) for γ d = 20dB and γ d = 10dB, respectively. Figs.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

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Joint Bi-Static Radar and Communications Designs for Intelligent Transportation

Cao

Chen

et al. 2020

IEEE Trans. Veh. Technol.

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Section: Numerical Results and Discussionmentioning

confidence: 99%

“…For example, in [8] and [9], the effects of interference were evaluated. In [10], interference cancellation was considered. These works operate radar and communications in a non-cooperative manner.…”

Section: Introductionmentioning

confidence: 99%

Joint Bi-Static Radar and Communications Designs for Intelligent Transportation

Cao

Chen

et al. 2020

IEEE Trans. Veh. Technol.

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“…However, the radar and communication systems cooperatively exchange information that helps them to keep this interference within tolerable limits. Techniques include implementing such cohabitation by joint power allocation optimized with constraints on qualityof-service (QoS) requirements for both the systems [20] and successive interference cancellation at the receiver [1], [21]. Obviously, the drawback is that the mutual interference and consequent degradation in both systems' performances are inevitable.…”

Section: A Cohabitationmentioning

confidence: 99%

A Survey on Joint Communication-Radar Systems

Mazahir¹,

Ahmed²,

Alouini³

2020

Preprint

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<div>Concerns for spectrum congestion have spurred extensive research efforts on efficient spectrum management. Therefore, devising schemes</div><div>for spectrum sharing between radar and wireless communication systems has become an important area of research. Joint communications-radar (JCR) system is among the several approaches proposed to achieve this objective. In JCR systems, additional components and processes are added to an existing standardized communication platform to enable radar functions. Moreover, the communication waveform is used as an integrated JCR waveform, i.e., the same signal is used to communicate information to a receiver and to perform radar detection and estimation operations for a nearby target. The most common application of JCR systems is found in vehicle-to-vehicle (V2V) communication scenario. In this article, an overview of the spectrum sharing methods is presented, with focus on JCR systems in automotive applications. We first review the recent works on IEEE 802.11p- and IEEE 802.11ad-based radars. A basic description of the modeling of JCR system and channels is presented, followed by discussions on main components and processes employed in various JCR systems. Mainly, we are interested in how the radar detection and estimation functions are performed in conjunction with the communication receiver functions with minimal alterations in the existing system. At the end of the paper, some performance trade-offs between the communication and radar sub-systems are also discussed.</div>

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“…The localisation information rate and communication data rate (CDR) are used to evaluate the radar and communications performance, respectively. Tian et al [19] analyse the CDR‐MI performance for the JRCS in TISB and RISB manners, where it is demonstrated that the performance in RISB manner is much better than that in TISB manner.…”

Section: Introductionmentioning

confidence: 99%