Peak Sidelobe Level Based Waveform Optimization for OFDM Joint Radar-Communications

Keskin, Musa Furkan; Tigrek, R. F.; Aydoğdu, Canan; Lampel, Franz; Wymeersch, Henk; Alvarado, Alex; Willems, F.M.J.

doi:10.1109/eurad48048.2021.00012

Cited by 8 publications

(8 citation statements)

References 16 publications

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“…For all these technologies, studies could also be done on the total computation overhead, including the embedding time and limitations due to hardware architectures and qubit technologies, namely spatial arrangement of cold atoms for Pasqal. Moreover, we could find QUBO formulations to optimise other signal processing criteria as Doppler tolerance [27] or the PSL criteria [28].…”

Section: Discussionmentioning

confidence: 99%

Phase‐coded radar waveform design with quantum annealing

Presles,

Enderli,

Burel

et al. 2023

IET Radar Sonar & Navi

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The Integrated Side Lobe Ratio (ISLR) problem the authors consider here consists in finding optimal sequences of phase shifts in order to minimise the mean squared cross‐correlation side lobes of a transmitted radar signal and a mismatched replica. Currently, ISLR does not seem to be easier than the general polynomial unconstrained binary problem, which is NP‐hard. In their work, the authors aim to take advantage of the scalability of quantum computing to find new optima, by solving the ISLR problem on a quantum annealer. This quantum device is designed to solve quadratic optimisation problems with binary variables (QUBO). After proposing suitable formulation for different instances of the ISLR, the authors discuss the performances and the scalability of their approach on the D‐Wave quantum computer. More broadly, their work enlightens the limits and potential of the adiabatic quantum computation for the solving of large instances of combinatorial optimisation problems.

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Section: Discussionmentioning

confidence: 99%

Phase‐coded radar waveform design with quantum annealing

Presles,

Enderli,

Burel

et al. 2023

IET Radar Sonar & Navi

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“…[129] maximizes the detection probability of radar sensing under the constraints of the total transmit power and DIR. In point-topoint communication scenarios, the power of the ISAC signals is optimally allocated under the constraints of pulse compression sidelobe and communication data rate in [130]. The proposed method in [130] outperforms traditional windowing and waterfilling techniques under severe channel fading conditions.…”

Section: Adaptive Signal Optimizationmentioning

confidence: 99%

“…In point-topoint communication scenarios, the power of the ISAC signals is optimally allocated under the constraints of pulse compression sidelobe and communication data rate in [130]. The proposed method in [130] outperforms traditional windowing and waterfilling techniques under severe channel fading conditions. In [131], an adaptive ISAC signal optimization model with the maximum entropy, SNR and DIR are established under the constraint of total power.…”

Section: Adaptive Signal Optimizationmentioning

confidence: 99%

Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey

Wei

Wang

et al. 2023

IEEE Internet Things J.

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Integrated sensing and communication (ISAC) has the advantages of efficient spectrum utilization and low hardware cost. It is promising to be implemented in the fifth-generationadvanced (5G-A) and sixth-generation (6G) mobile communication systems, having the potential to be applied in intelligent applications requiring both communication and high-accurate sensing capabilities. As the fundamental technology of ISAC, ISAC signal directly impacts the performance of sensing and communication. This article systematically reviews the literature on ISAC signals from the perspective of mobile communication systems, including ISAC signal design, ISAC signal processing algorithms and ISAC signal optimization. We first review the ISAC signal design based on 5G, 5G-A and 6G mobile communication systems. Then, radar signal processing methods are reviewed for ISAC signals, mainly including the channel information matrix method, spectrum lines estimator method and super resolution method. In terms of signal optimization, we summarize peak-to-average power ratio (PAPR) optimization, interference management, and adaptive signal optimization for ISAC signals. This article may provide the guidelines for the research of ISAC signals in 5G-A and 6G mobile communication systems.

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“…Therefore, there is a growing interest towards joint sensing and communication systems to combine the functionalities of both of these sensors and reduce the spectrum crowding [3,4,5]. To enable joint radar-communication (RadCom) coexistence, various methods and waveform design techniques are studied [6,7,8]. Since the automotive radars rely on simple hardware and low processing power, cost-efficient methods to realize RadCom systems are still of interest.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Phase-Coded FMCW for Joint Sensing and Communication

Kumbul

Petrov

Vaucher

et al. 2023

2023 24th International Radar Symposium (IRS)

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Phase-coded frequency modulated continuous wave (PC-FMCW) radars for joint sensing and communication are considered. The sensing and communication performance of the two signal processing methods, phase lag compensated group delay filter and filter bank receivers, are compared. It is demonstrated that the phase lag compensated group delay receiver provides better sensing performance and requires less computational complexity than the filter bank receiver. The application of the former receiver is, however, limited by the bit error rate degradation with the communication signal bandwidth.

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Peak Sidelobe Level Based Waveform Optimization for OFDM Joint Radar-Communications

Cited by 8 publications

References 16 publications

Phase‐coded radar waveform design with quantum annealing

Phase‐coded radar waveform design with quantum annealing

Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey

Performance Analysis of Phase-Coded FMCW for Joint Sensing and Communication

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