MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation

Huang, Tianyao; Shlezinger, Nir; Xu, Xingyu; Liu, Yimin; Eldar, Yonina C.

doi:10.1109/tsp.2020.2994394

Cited by 170 publications

(124 citation statements)

References 44 publications

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“…Represent information by the indexes of antennas, frequencies, and/or codes of the signals [8], [10], [59], [60].…”

Section: Spatial Embeddingmentioning

confidence: 99%

“…at least one subcarrier [62], [65]. If without additional constraint on subcarrier allocation, there are a total of The DFRC system extended from CAESAR is proposed in [63], where each virtual subarray is assumed to have the same number of antennas and use one frequency. Hence frequency combination selects S out of N frequencies, and N c = C N S .…”

Section: Spatial Embeddingmentioning

confidence: 99%

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

Zhang

Liu

Masouros

et al. 2021

IEEE J. Sel. Top. Signal Process.

481

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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“…Represent information by the indexes of antennas, frequencies, and/or codes of the signals [8], [10], [59], [60].…”

Section: Spatial Embeddingmentioning

confidence: 99%

Section: Spatial Embeddingmentioning

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.

481

152

View full text Add to dashboard Cite

show abstract

“…No matter how we hop the frequency, the remainder is 70/100, and thereby f beat is always 70MHz. For a better configuration (m = 3), consider B sub = 7 3 f s with the same setup for the rest. For k = 0, 1, 2, 3, the remainders are 70/100, 70/100 + 1/3, 70/100 + 2/3, and 70/100, respectively.…”

Section: Designing Bluefmcwmentioning

confidence: 99%

“…There are several prior works on mitigation techniques against mutual interference or attacks on the automotive radars. Communication-based techniques such as dual function radar-communication [6] [7] proved effectiveness only against interference signals. Meanwhile, our proposed work provides a countermeasure against intended attack signals as well.…”

Section: Introductionmentioning

confidence: 99%

BlueFMCW: Random Frequency Hopping Radar for Mitigation of Interference and Spoofing

Moon

Park

Kim

2021

Preprint

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Radars form a central piece in a variety of emerging applications requiring higher degrees of localization. However, two problems are anticipated as more radars are deployed: viz., (i) inter-radar interference and (ii) security attacks. While many prior proposals have addressed the problems, no work in the radar literature addressed them simultaneously. In this context, we introduce a novel frequency-modulated continuous-wave (FMCW) radar scheme (namely, BlueFMCW) that aims to alleviate the damage from interference and active attacks (e.g., spoofing). The technique designs that the waveform randomly hops across multiple frequencies to dilute the damage at a certain frequency. Moreover, we propose a phase alignment algorithm to remove the phase discontinuity while combining the beat signals from the randomly-hopped chirps. The simulation results show that the proposed technique can efficiently mitigate the interference and spoofing signals in various scenarios without costing its resolution.

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“…In the study by Hoque and Şahin (2020), IM-aided circularly shifted chirps are proposed for DFRC systems. In the study by Huang et al (2020), information is embedded on the DFRC system in an IM manner, where different frequency and antenna selections construct possible constellation space. However, to the best of our knowledge, there is no study focusing on the implementation and analysis of OFDM-IM in JCR systems.…”

Section: Introductionmentioning

confidence: 99%

OFDM-IM for Joint Communication and Radar-Sensing: A Promising Waveform for Dual Functionality

et al. 2021

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The demand for dual-functional wireless systems is on the rise as certain resources become more congested and scarce. Joint communication-radar (JCR) is a promising technology that is becoming very critical and growing in popularity, where communication and radar applications are serviced simultaneously sharing the same hardware/software and the frequency band resources. JCR and its alternatives need to be cleverly integrated into certain waveforms such as orthogonal frequency division multiplexing (OFDM) to function properly without degradation in the performance. With the aid of the promising concepts of index modulation (IM) and Golay complementary sequences, a novel JCR waveform is proposed to serve both communication and radar applications with the same resources. It has been shown by extensive computer simulations that the proposed OFDM with an index modulation (OFDM-IM) waveform outperforms the classical OFDM with fixed pilot design both in bit error rate (BER) performance and radar-based applications by introducing diversity among subcarriers and frequency agility over the whole frequency band.

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MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation

Cited by 170 publications

References 44 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

BlueFMCW: Random Frequency Hopping Radar for Mitigation of Interference and Spoofing

OFDM-IM for Joint Communication and Radar-Sensing: A Promising Waveform for Dual Functionality

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