Super-Resolution Range and Velocity Estimations With OFDM Integrated Radar and Communications Waveform

Liu, Yongjun; Liao, Guisheng; Chen, Yufeng; Xu, Jingwei; Yin, Yingzeng

doi:10.1109/tvt.2020.3016470

Cited by 90 publications

(56 citation statements)

References 50 publications

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“…Since solutions to the classical harmonic retrieval problems are generally well studied, we ignore the details and only provide a comparison of typical techniques in Table II with reference to our sensing problems. More details of such techniques for JCR can be referred to [24], [37]- [40]. In Fig.…”

Section: Sensing Parameter Estimationmentioning

confidence: 99%

See 1 more Smart Citation

An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

Zhang

Liu

Masouros

et al. 2021

IEEE J. Sel. Top. Signal Process.

572

152

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Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, by sharing the majority of hardware, signal processing modules and, in a typical case, the transmitted signal. The close cooperation of the communication and sensing functions can enable significant improvement of spectrum efficiency, reduction of device size, cost and power consumption, and improvement of performance of both functions. Advanced signal processing techniques are critical for making the integration efficient, from transmission signal design to receiver processing. This paper provides a comprehensive overview of the state-of-the-art on JCR systems from the signal processing perspective. A balanced coverage on both transmitter and receiver is provided for three types of JCR systems, namely, communicationcentric, radar-centric, and joint design and optimization.

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Section: Sensing Parameter Estimationmentioning

confidence: 99%

“…Subspace methods such as ESPRIT and MUSIC [40], [41] • Separate signal and noise subspaces and hence is resilient to noise; • ESPRIT can achieve very high resolution and can do off-grid estimation; • MUSIC can flexibly work with non-continuous samples.…”

Section: Maximal Likelihoodmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

Zhang

Liu

Masouros

et al. 2021

IEEE J. Sel. Top. Signal Process.

572

152

View full text Add to dashboard Cite

show abstract

Section: Sensing Parameter Estimationmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

Zhang,

Liu,

Masouros

et al. 2021

Preprint

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Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, sharing a majority of hardware and signal processing modules and, in a typical case, sharing a single transmitted signal. It is recognised as a key approach in significantly improving spectrum efficiency, reducing device size, cost and power consumption, and improving performance thanks to potential close cooperation of the two functions. Advanced signal processing techniques are critical for making the integration efficient, from transmission signal design to receiver processing. This paper provides a comprehensive overview of JCR systems from the signal processing perspective, with a focus on state-of-the-art. A balanced coverage on both transmitter and receiver is provided for three types of JCR systems, communication-centric, radar-centric, and joint design and optimization.

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“…The key mechanism of proposed JTARO strategy is to employ the optimization technique to jointly optimize the target-to-radar assignment, revisit time control, bandwidth, and dwell time allocation subject to several resource constraints, while achieving better tracking accuracies of multiple targets and low probability of intercept (LPI) performance of phased array radar network. A auto paired super-resolution range and velocity estimation method is proposed by using the OFDM integrated radar and communications waveform in [14], which to obtain the range and velocity estimations of other vehicles in the intelligent transportation system. Liu et al [15] design an integrated system combining multiple-input multiple-output radar with orthogonal frequency division multiplexing (OFDM) communication.…”

Section: Related Workmentioning

confidence: 99%

RSHL: a Ranging and Speed Measurement Method by Jointing Hyperbolic Frequency Modulation and Linear Frequency Modulation

Liu

Song

2021

Preprint

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In the waveform design, the distance measurement and resolution are a pair of irreconcilable contradictions. Linear Frequency Modulation (LFM) can alleviate this contradiction. LFM is widely used in radar and sonar, however, its Doppler tolerance is not ideal. Hyperbolic Frequency Modulation (HFM) signal has a particularly strong tolerance towards Doppler frequency shift. However, when the unidirectionally modulated HFM signal is in distance measurement, the Doppler delay of the matched filtering output cannot be eliminated, and there is a ranging error. After the echo signal of the combined HFM+LFM signal is matched filtering, the Doppler-induced delay is the same but opposite in direction, and the delay is closely related to the frequency, bandwidth, and pulse width of the transmitted signal. By using the combined signals, the ranging error in the ranging of single modulated HFM signal or LFM signal can be eliminated. In this paper, a Ranging and Speed measurement method by jointing Hyperbolic frequency modulation and Linear frequency modulation (RSHL) is proposed, which employs the same frequency band of positive and negative frequency modulation signals for speed measurement and ranging. In RSHL method, the signal parameters of the combined LFM+HFM signal can be set independently and no longer depend on each other. Therefore, the pulse width and frequency band in the combined LFM+HFM signal can be controlled independently, which can optimize the transmission signal form, reduce the operation cost, improve the measurement accuracy, and make full use of frequency band resources or pulse width resources.

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Super-Resolution Range and Velocity Estimations With OFDM Integrated Radar and Communications Waveform

Cited by 90 publications

References 50 publications

An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing

RSHL: a Ranging and Speed Measurement Method by Jointing Hyperbolic Frequency Modulation and Linear Frequency Modulation

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