Designing Interference-Immune Doppler-Tolerant Waveforms for Radar Systems

Amar, Robin; Alaee-Kerahroodi, Mohammad; Babu, Prabhu; Shankar, M. R. Bhavani

doi:10.1109/taes.2022.3215116

Cited by 7 publications

(8 citation statements)

References 68 publications

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“…For the case of PMCW radars, we propose an optimization framework based on Gradient Descent (GD) to design a set of sequences which exhibit good orthogonality and low sidelobe levels in their correlation functions. The numerical results validate the proposed algorithm's performance for a 4D imaging radar example 1 .…”

Section: Introductionsupporting

confidence: 52%

“…In automotive radars, FMCW is typically used as the standard modulation scheme, since it can be compressed with a very low-cost and efficient technique known-as de-chirping operation (stretch processing) [1], [4]. The primary benefit of de-chirping is that the received signal can be sampled at much lower rates in comparison to its bandwidth.…”

Section: A Signal Processing In Fmcw Radarsmentioning

confidence: 99%

“…As compared to FMCW radars, PMCW radars show good properties in terms of interference mitigation [1]. However, due to the high instantaneous bandwidth, digitally modulated waveforms in PMCW radars raise high sampling rate in Analog to Digital Converter (ADC)s, which increases the cost of implementation [2].…”

Section: Introductionmentioning

confidence: 99%

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Waveform Selection for FMCW and PMCW 4D-Imaging Automotive Radar Sensors

Sichani

Ahmadi

Raei

et al. 2023

2023 IEEE Radar Conference (RadarConf23)

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The emerging 4D-imaging automotive MIMO radar sensors necessitate the selection of appropriate transmit waveforms, which should be separable on the receive side in addition to having low auto-correlation sidelobes. TDM, FDM, DDM, and inter-chirp CDM approaches have traditionally been proposed for FMCW radar sensors to ensure the orthogonality of the transmit signals. However, as the number of transmit antennas increases, each of the aforementioned approaches suffers from some drawbacks, which are described in this paper. PMCW radars, on the other hand, can be considered to be more costly to implement, have been proposed to provide better performance and allow for the use of waveform optimization techniques. In this context, we use a block gradient descent approach to design a waveform set for MIMO-PMCW that is optimized based on weighted integrated sidelobe level in this paper, and we show that the proposed waveform outperforms conventional MIMO-FMCW approaches by performing comparative simulations.

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Section: Introductionsupporting

confidence: 52%

Section: A Signal Processing In Fmcw Radarsmentioning

confidence: 99%

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Waveform Selection for FMCW and PMCW 4D-Imaging Automotive Radar Sensors

Sichani

Ahmadi

Raei

et al. 2023

2023 IEEE Radar Conference (RadarConf23)

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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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“…in nursing homes. To overcome this issue, robust interference mitigation strategies [63] will have to be developed. In this context, it could be interesting to exploit the variety of already existing HAR sensors.…”

Section: Open Issues and Future Research Directionsmentioning

confidence: 99%

A Survey on Radar-Based Continuous Human Activity Recognition

Ullmann¹,

Guendel

Kruse

et al. 2023

IEEE J. Microw.

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Radar-based human motion and activity recognition is currently a topic of great research interest, as the aging population increases and older individuals prefer an independent lifestyle. This technology has a wide range of applications, such as fall detection in assisted living, gesture recognition for human-machine interfaces, and many more. Numerous studies exist on various approaches for radar-based activity capture and classification. However, most of these employ rather artificial data, often obtained in laboratory environments, and typically collected under particular conditions. Specifically, most research so far has aimed at distinguishing a predefined set of single activities with a defined start, stop and duration. This paper aims at drawing the attention to a so far less researched issue, one that will be of vital importance for future real-world application of radar-based human activity recognition: continuous activity recognition, i.e. recognizing specific activities in a stream of several sequential activities with unknown duration and arbitrary transitions between different classes of activities. A review on the current state of the art in this relatively new topic is given, followed by a discussion on future research directions.INDEX TERMS Radar applications, radar signal processing, continuous human activity recognition, activities of daily living.This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.

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Designing Interference-Immune Doppler-Tolerant Waveforms for Radar Systems

Cited by 7 publications

References 68 publications

Waveform Selection for FMCW and PMCW 4D-Imaging Automotive Radar Sensors

Waveform Selection for FMCW and PMCW 4D-Imaging Automotive Radar Sensors

Phase‐coded radar waveform design with quantum annealing

A Survey on Radar-Based Continuous Human Activity Recognition

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