Electromagnetic interference to radar receivers due to in-band OFDM communications systems

Cordill, Brian D.; Seguin, Sarah A.; Cohen, Lawrence S.

doi:10.1109/isemc.2013.6670384

Cited by 19 publications

(10 citation statements)

References 6 publications

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“…The work in [14] used simulations to show that communications system interference can significantly degrade radar performance. The authors in [15] confirmed the same conclusion after examining the impact of in-band OFDM interference on radars. In [16], the authors performed system-level analysis for the coexistence between a time-division long-termevolution (TD-LTE) system and a radar system in the 2300 MHz to 2400 MHz band, and studied the effects on each other under different isolation distances and frequency spaci For analyzing the effects ofradar on communications system performance, the authors in [17] provided an analytical model to study the effect of an unaltered radar signal on the bit-error rate of a communications system.…”

Section: Spectrum Sharing Between Communications and Radar Systemssupporting

confidence: 59%

Coexistence between communications and radar systems: A survey

Labib

Marojevic

Martone

et al. 2017

URSI Radio Sci. Bull.

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Data-traffic demand in cellular networks has been growing tremendously, and has led to creating congested RF environments. Accordingly, innovative approaches for spectrum sharing have been proposed and implemented to accommodate several systems within the same frequency band. Spectrum sharing between radar and communications systems is one of the important research and development areas. In this paper, we present the fundamental spectrumsharing concepts and technologies. We then provide an updated and comprehensive survey of spectrum-sharing techniques that have been developed to enable some wireless communications systems to coexist with radars in the same band.

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Section: Spectrum Sharing Between Communications and Radar Systemssupporting

confidence: 59%

Coexistence between communications and radar systems: A survey

Labib

Marojevic

Martone

et al. 2017

URSI Radio Sci. Bull.

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“…Both α c i,j and α r j,i are determined by the spectral overlap. The in-band interference from communications to radar is proportional to the overlap [30]. Thus, α c i,j can be expressed as…”

Section: Network Configuration and System Modelmentioning

confidence: 99%

Resource Allocation in Heterogeneously-Distributed Joint Radar-Communications under Asynchronous Bayesian Tracking Framework

Wu¹,

Mishra²,

Shankar³

et al. 2021

Preprint

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Optimal allocation of shared resources is key to deliver the promise of jointly operating radar and communications systems. In this paper, unlike prior works which examine synergistic access to resources in colocated joint radar-communications or among identical systems, we investigate this problem for a distributed system comprising heterogeneous radars and multi-tier communications. In particular, we focus on resource allocation in the context of multi-target tracking (MTT) while maintaining stable communication connections. By simultaneously allocating the available power, dwell time and shared bandwidth, we improve the MTT performance under a Bayesian tracking framework and guarantee the communications throughput. Our alternating allocation of heterogeneous resources (ANCHOR) approach solves the resulting nonconvex problem based on the alternating optimization method that monotonically improves the Bayesian Cramér-Rao bound. Numerical experiments demonstrate that ANCHOR significant improves the tracking error over two baseline allocations and stability under different target scenarios and radar-communications network distributions.

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“…Also, the interference is low during rain, snow and fog. However, the millimeter radar detection system requires prevention against electromagnetic interference, which makes the cost of the millimeter radar detection system high [15]. Another disadvantage of this systems is the electromagnetic interference between radar equipments.…”

Section: B Millimeter Wave Radarmentioning

confidence: 99%

Distance measurement system for smart vehicles

Zhao

Mammeri

Boukerche

2015

2015 7th International Conference on New Technologies, Mobility and Security (NTMS)

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Advanced Driver Assistance Systems (ADAS) refer to the set of smart components such as object detection and tracking systems used to protect drivers and road users. An important task that should be performed by ADAS is the measurement of the distance between a vehicle and a detected object. This helps to anticipate the position of objects in the lane, prevents collisions and improves the safety on the road. For this purpose, Distance Measurement Systems (DMS) including Visionbased techniques, Millimeter wave radars, Infrared ranging, and LIDAR are used in the automotive industry. In this paper, we discuss the design of such systems and their use in smart vehicles. Particular attention is given to vision-based techniques because they are considered among the most accurate systems used to identify targets and to measure the distance from them to a vehicle.

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Electromagnetic interference to radar receivers due to in-band OFDM communications systems

Cited by 19 publications

References 6 publications

Coexistence between communications and radar systems: A survey

Coexistence between communications and radar systems: A survey

Resource Allocation in Heterogeneously-Distributed Joint Radar-Communications under Asynchronous Bayesian Tracking Framework

Distance measurement system for smart vehicles

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