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Simultaneous Transmit and Receive Technology: Implementation and Application

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 640

Special Issue Editors


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Guest Editor
School of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen 528406, China
Interests: radar target recognition; new system anti-jamming radar signal design

E-Mail Website
Guest Editor
School of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen 528406, China
Interests: electromagnetic environment effects; electronic information system modeling simulation and evaluation

E-Mail Website
Guest Editor
School of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen 528406, China
Interests: multifunction-integrated signal design; signal processing; space–ground integrated communications
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Special Issue Information

Dear Colleagues,

Recently, Simultaneous Transmit and Receive (STAR) technology has shown infinite potential in the radio field, which enables transmission and reception at the same time, frequency, and using one sensor system. The main challenge is how to mitigation the strong self-interference power at the receiving end, which needs effective cancellation methods from the propagation, analog, and digital domains. It can benefit high-speed communication, integrated signal design, advanced electronic warfare, and other potential application scenarios.

This Special Issue therefore aims to collate original research and review articles on the recent advances, technologies, solutions and applications in the field of STAR systems.

The potential topics include, but are not limited to:

  • STAR antenna designs;
  • decoupling and absorbing material;
  • digital self-interference cancellation;
  • STAR array designs;
  • RF cancellation link design;
  • RF link nonlinearity;
  • STAR system simulation and testbeds;
  • in-band full-duplex communication;
  • signal design under STAR scenarios and advanced electronic warfare.

Prof. Dr. Xizhang Wei
Prof. Dr. Tao Wang
Dr. Yanqun Tang
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • antenna decoupling
  • self-interference cancellation
  • channel estimation
  • transmission link simulation
  • STAR array
  • in-band full-duplex
  • integrated signal design
  • continuous wave (CW) interference

Published Papers (1 paper)

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Research

15 pages, 1977 KiB  
Article
Digital Self-Interference Canceler with Joint Channel Estimator for Simultaneous Transmit and Receive System
by Shiyu Song, Yanqun Tang, Xianjie Lu, Yu Zhou, Xizhang Wei, Zhengpeng Wang and Songhu Ge
Sensors 2024, 24(8), 2449; https://doi.org/10.3390/s24082449 - 11 Apr 2024
Viewed by 334
Abstract
Simultaneous transmit and receive wireless communications have been highlighted for their potential to double the spectral efficiency. However, it is necessary to mitigate self-interference (SI). Considering both the SI channel and remote transmission (RT) channel need to be estimated before equalizing the received [...] Read more.
Simultaneous transmit and receive wireless communications have been highlighted for their potential to double the spectral efficiency. However, it is necessary to mitigate self-interference (SI). Considering both the SI channel and remote transmission (RT) channel need to be estimated before equalizing the received signal, we propose two adaptive algorithms for linear and nonlinear self-interference cancellation (SIC), based on a multi-layered joint channel estimator structure. The proposed algorithms estimate the RT channel while performing SIC, and the multi-layered structure ensures improved performance across various interference-to-signal ratios. The M-estimate function enhances the robustness of the algorithm, allowing it to converge even when affected by impulsive noise. For nonlinear SIC, this paper introduces an adaptive algorithm based on generalized Hammerstein polynomial basis functions. The simulation results indicate that this approach achieves a better convergence speed and normalized mean squared difference compared to existing SIC methods, leading to a lower system bit error rate. Full article
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