Extension of the OFDM joint radar-communication system for a multipath, multiuser scenario

Sit, Yoke Leen; Reichardt, Lars; Sturm, Christian; Zwick, Thomas

doi:10.1109/radar.2011.5960632

Cited by 55 publications

(40 citation statements)

References 6 publications

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“…Particularly, in [34], [35] a dynamic range degradation was observed in the range-Doppler map, attributable to an increased noise floor along with a target peak loss. It is worth noticing that this twofold phenomenon is not to be mistaken for the interference caused in multi-user scenario [39]. To distinguish both we denote the former as a target self-interference phenomenon.…”

Section: Com Chanmentioning

confidence: 99%

Study of the Target Self-Interference in a Low-Complexity OFDM-Based Radar Receiver

Mercier

Roque

Bidon

2019

IEEE Trans. Aerosp. Electron. Syst.

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This paper investigates a radar-communications waveform sharing scenario. Particularly, it addresses the selfinterference phenomenon induced by independent single-point scatterers throughout a low-complexity monostatic OFDM-based radar receiver from a statistical viewpoint. Accordingly, an analytical expression of the post-processing signal-to-interferenceplus-noise-ratio is derived and detection performance is quantified in simulated scenarios for rectangular and non-rectangular pulses. Both metrics suggest that this phenomenon must be further handled.

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Section: Com Chanmentioning

confidence: 99%

Study of the Target Self-Interference in a Low-Complexity OFDM-Based Radar Receiver

Mercier

Roque

Bidon

2019

IEEE Trans. Aerosp. Electron. Syst.

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“…The maximum value for sensible range and moving speed can accordingly be determined. The granularity of the resolution (i.e., minimal resolvable values) for delay and Doppler mainly depends on the signal bandwidth and the measurement time period during which the channel parameters can be regarded as unchanged, respectively [8], [14]. When high resolution algorithms such as those to be discussed in Section V-B are applied, the granularity of resolution also depends on other factors such as SNR and the number of observations.…”

Section: Sensing Algorithms In Ctas Stagementioning

confidence: 99%

Multibeam for Joint Communication and Radar Sensing Using Steerable Analog Antenna Arrays

Zhang

Huang

Yuan

et al. 2019

IEEE Trans. Veh. Technol.

215

145

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Beamforming has great potential for joint communication and sensing (JCAS), which is becoming a demanding feature on many emerging platforms such as unmanned aerial vehicles and smart cars. Although beamforming has been extensively studied for communication and radar sensing respectively, its application in the joint system is not straightforward due to different beamforming requirements by communication and sensing. In this paper, we propose a novel multibeam framework using steerable analog antenna arrays, which allows seamless integration of communication and sensing. Different to conventional JCAS schemes that support JCAS using a single beam, our framework is based on the key innovation of multibeam technology: providing fixed subbeam for communication and packetvarying scanning subbeam for sensing, simultaneously from a single transmitting array. We provide a system architecture and protocols for the proposed framework, complying well with modern packet communication systems with multicarrier modulation. We also propose low-complexity and effective multibeam design and generation methods, which offer great flexibility in meeting different communication and sensing requirements. We further develop sensing parameter estimation algorithms using conventional digital Fourier transform and 1D compressive sensing techniques, matching well with the multibeam framework. Simulation results are provided and validate the effectiveness of our proposed framework, beamforming design methods and the sensing algorithms. 2 protocols, a BF design methodology, multibeam generation and updating algorithms, and sensing algorithms, to achieve large field-of-view (range in directions), flexible and accurate sensing with controllable and insignificant compromise on communication performance.Our main contributions in this paper are as follows, with a focus on multibeam with two subbeams:• We propose a system architecture and protocols for implementing multibeam JCAS technology, with the use of two analog arrays. The two arrays, spatially widely separated, are introduced mainly to suppress leakage signal from the transmitter to receiver, so that the receiver can work all the time, transiting between communication and sensing modes. The proposed framework fully complies with a conventional time division duplex (TDD) communication system and reuses the TDD timeslot. This is detailed in Section II; • We provide a BF design methodology to enable the integration of beam-scanning based sensing with fixedbeam based communication functions. We also present a generalized Least Squares (LS) BF solution for generating beams with desired shape. This is discussed in Section III; • Detailed methods for generating and updating multibeam BF vectors are developed. The methods offer flexibility in meeting different and time-varying requirements for communication and sensing, capability in constructively combining communication and sensing subbeams for communication purpose, and simplicity in updating BF vectors. The details are presented in Section IV...

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“…Here, OFDM is in fact considered as a method to cope with mutual interference, but further analysis is not given. One suggestion to handle interference instead of avoiding it is given in [15], which is also the only publication which directly researches interference in OFDM radar networks. The paper suggests an interference mitigation technique but only for the very specific scenario of one single interferer.…”

Section: Previous Researchmentioning

confidence: 99%

Co-channel interference limitations of OFDM communication-radar networks

Braun

Tanbourgi

Jondral

2013

J Wireless Com Network

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Orthogonal frequency-division multiplexing (OFDM) communication-radar networks are systems where individual nodes use OFDM signals to both communicate and perform radar simultaneously. As a research subject, such networks are fairly new and lack some research covering fundamental limits. In particular, it is unclear how the reliability of the radar component is affected by a network operation, as several nodes might attempt to access the medium at the same time, thereby increasing interference and reducing the radar capabilities of individual nodes. In this paper, we apply the notion of outage (which was originally introduced for communication networks) to radar networks and introduce the outage probability as a performance metric. Using stochastic geometry, we are able to give tight bounds on the outage probability and demonstrate how this is useful for testing OFDM radar parametrizations and algorithms. It is possible to show that the outage probability is smaller than 1% for previously suggested OFDM radar parametrizations without having to resort to empirical methods.

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Extension of the OFDM joint radar-communication system for a multipath, multiuser scenario

Cited by 55 publications

References 6 publications

Study of the Target Self-Interference in a Low-Complexity OFDM-Based Radar Receiver

Study of the Target Self-Interference in a Low-Complexity OFDM-Based Radar Receiver

Multibeam for Joint Communication and Radar Sensing Using Steerable Analog Antenna Arrays

Co-channel interference limitations of OFDM communication-radar networks

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