Waveform Design and Signal Processing Aspects for Fusion of Wireless Communications and Radar Sensing
By Christian Sturm, Werner Wiesbeck. Proceedings of the IEEE, 2011
1,382 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/d5d83ea5851d681eece6103c5137853b5f5d7116
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Fan Liu
- Christos Masouros
- Yonina C. Eldar
- Jie Xu
- Derrick Wing Kwan Ng
- Robert W. Heath
- Weijie Yuan
- Zhiqiang Xiao
In Signal Processing
- Yonina C. Eldar
- Robert W. Heath
- Christos Masouros
- Fan Liu
- Zhiqiang Xiao
- Yongbo Zeng
- Moeness G. Amin
- Daniel W. Bliss
Citations in the corpus
- Throughput Maximization for UAV-Enabled Integrated Periodic Sensing and Communication (2022, neutral): “Several similar terminologies have been utilized to describe this related research, such as radar-communication (RadCom) [7], [8], dual-functional radar communication (DFRC) [9], [10], joint communication and radar sensing (JCAS) [11], [12].”
- Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design (2017, background): “, high peak-averagepower-ratio (PAPR) and limited dynamic range [25].”
- Multibeam for Joint Communication and Radar Sensing Using Steerable Analog Antenna Arrays (2018, background): “, 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].”
- Waveform Design and Performance Analysis for Full-Duplex Integrated Sensing and Communication (2021, methodology): “However, communication waveforms are random in nature, which usually lead to degraded sensing performance due to various issues like high peak-to-average-power ratio (PAPR), random autocorrelation property, and compromised resolution [27].”
- IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System (2017, methodology): “In [10], the radar parameters are estimated by leveraging the channel estimation technique for OFDM communication”
- Radar-Communications Convergence: Coexistence, Cooperation, and Co-Design (2017, background): “Researchers have considered a variety of waveform options including orthogonal frequency-division multiplexing (OFDM) [14]–[21].”
- Joint Design of Communication and Sensing for Beyond 5G and 6G Systems (2021, background): “In the absence of a cyclic prefix (e.g. in case of spread spectrum single carrier), single carrier radar typically uses a correlation-based receive processing [15], which is simple to implement if, for example, only the range is of interest.”
- Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges (2021, background): “At present, several names have been used to describe the related research output, such as joint radar communications/joint communications radar (JRC/JCR) [2], joint communication and radar/radio sensing (JCAS) [5], dual-functional radar communications (DFRC) [8], radio-frequency (RF) convergence, an”
- Inner Bounds on Performance of Radar and Communications Co-Existence (2016, neutral): “Digital Object Identifier 10.1109/TSP.2015.2483485”
- An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (2015, background): “Evolutions of these standards are expected to support more sophisticated forms of multiple-input multiple-output (MIMO) communication for higher data rates.”
- Optimal Transmit Beamforming for Integrated Sensing and Communication (2021, background): “1In the literature, the ISAC is also referred to as joint radar communications (JRC) [2], joint communication and radar (JCR) [3], dual-functional radar communications (DFRC) [4], [5], radar-communications (RadCom) [6], and joint communication and radar/radio sensing (JCAS) [1].”
- On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication (2020, background): “Such a communication setup has been extensively studied in the literature (see [7], [9]–[17] and references therein).”
- Survey of RF Communications and Sensing Convergence Research (2017, methodology): “Some methods attempted to remove the dependency of the data from the radar processing [23] but still suffered from conflicting cyclic prefix requirements.”
- Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks (2021, background): “Various examples for OFDM-ISAC can be found widely in the literature [9], [18], where OFDM waveforms are adopted for both bi-static communication and mono-static radar [9].”
- Covert Communications: A Comprehensive Survey (2023, background): “However, by sharing the radio resource and hardware platform, the interference can be eliminated and the performance can be further improved, which is called the integrated sensing and communication system [214], [215].”
- Integrated Sensing and Communications: Recent Advances and Ten Open Challenges (2023, background): “…autonomous systems [16], autonomous driving [17], human activity sensing [18], as well as smart home and unmanned aerial vehicle (UAV) networks [19], [20] that rely on sensing functionalities, such as wireless localization in support of compelling services [21], [22], [23], [24], [25], [26], [27].”
- Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead (2019, background): “In [83], the authors proposed to transmit OFDM communication signals for vehicle detection.”