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RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

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Waveform Design for the Integrated Sensing, Communication, and Simultaneous Wireless Information and Power Transfer

Qilong Miao1, Weimin Shi2, Chenfei Xie3

  • 1School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel integrated system for sensing, communication, and power transfer using cyclic prefix Orthogonal Time Frequency Space (CP-OTFS) signals. The proposed system enhances performance in high-speed scenarios, outperforming traditional methods.

Keywords:
beamformingintegrated sensing and communication system (ISACS)matched filter (MF)orthogonal time frequency space (OTFS)semidefinite relaxation (SDR)simultaneous wireless information and power transfer (SWIPT)waveform design

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Area of Science:

  • Wireless communication engineering
  • Signal processing
  • Integrated sensing and communication systems

Background:

  • Next-generation communication systems require integrated sensing, communication, and power transfer (PT) capabilities.
  • Existing systems like Integrated Sensing and Communication Systems (ISACSs), Simultaneous Wireless Information and Power Transfer (SWIPT), and Orthogonal Time Frequency Space (OTFS) offer partial solutions.
  • High-speed scenarios present challenges for current communication technologies.

Purpose of the Study:

  • To propose a novel framework for integrated simultaneous wireless sensing, communication, and power transfer (ISWSCPTS).
  • To enhance sensing capabilities within the ISWSCPTS framework.
  • To optimize system performance under Quality of Service (QoS) constraints for communication and PT.

Main Methods:

  • Development of a cyclic prefix (CP) OTFS-based ISWSCPTS framework.
  • Proposal of a CP-OTFS matched filter (MF)-based target detection and parameter estimation (MF-TDaPE) algorithm for sensing.
  • Introduction of a CP-OTFS ambiguity function shaping (AFS) algorithm for waveform design.
  • Application of a semidefinite relaxation (SDR) beamforming design (SDR-BD) algorithm to maximize sensing performance under QoS constraints.

Main Results:

  • The ISWSCPTS demonstrates superior parameter estimation performance in high-speed scenarios compared to Orthogonal Frequency Division Multiplexing (OFDM).
  • Waveforms designed using CP-OTFS AFS exhibit enhanced interference resilience.
  • The SDR-BD algorithm effectively balances overall system performance, including sensing, communication, and power transfer.

Conclusions:

  • The proposed CP-OTFS-based ISWSCPTS framework effectively integrates sensing, communication, and power transfer.
  • The developed algorithms (MF-TDaPE, CP-OTFS AFS, SDR-BD) significantly improve sensing capabilities and overall system performance.
  • This integrated approach offers a promising solution for future high-speed wireless communication systems.