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Electronics
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Advances in Signal Processing for Wireless Communications
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Advances in Signal Processing for Wireless Communications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: closed (15 September 2024) | Viewed by 4649

Special Issue Editors

Prof. Dr. Arturs Aboltins

E-Mail Website
Guest Editor
Institute of Microwave Engineering and Electronics, Riga Technical University, Riga, Latvia
Interests: ultra-wideband technology; software-defined radio; orthogonal transforms; chaos; synchronization; communication systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Andreas Ahrens

E-Mail Website
Guest Editor
Department of Electrical Engineering and Computer Science, Faculty of Engineering, Hochschule Wismar, University of Applied Sciences, Technology, Business and Design, 23966 Wismar, Germany
Interests: error correcting codes; multiple-input multiple-output systems; iterative detection for both wireline and wireless communication; cyber security as well as social computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The digital transformation of humanity has launched the massive growth of wireless connectivity. Business processes and our daily life are becoming increasingly dependent on communication facilities; thus, there is an ever-increasing demand being placed on the capabilities of wireless communication networks. The rapid progress of microelectronics, materials, and manufacturing facilitates the development of complex wireless architectures that require advanced signal processing algorithms to exploit the potential of novel technologies.

The purpose of this Special Issue is aims to highlight the newest developments, disruptive ideas, and practical results in signal processing for next-generation wireless communications. It includes, but is not limited to, narrow-band, spread-spectrum, multi-carrier, and ultra-wideband modulation schemes, equalization and synchronization, advanced multiple-access, cross-layer and heterogeneous solutions, distributed and coordinated transmission schemes, detection, sensing, and localization.

Prof. Dr. Arturs Aboltins
Prof. Dr. Andreas Ahrens
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Electronics 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 2400 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

  • wireless communications
  • modulation
  • equalization
  • synchronization
  • sensing
  • localization
  • signal processing

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Published Papers (4 papers)

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Research

16 pages, 6867 KiB  
Article
Reconstructing Signals in Millimeter Wave Channels Using Bayesian-Based Fading Models
by Claudio Bastos Silva, Pedro E. Pompilio, Theoma S. Otobo and Horacio Tertuliano Filho
Electronics 2024, 13(22), 4406; https://doi.org/10.3390/electronics13224406 - 11 Nov 2024
Viewed by 451
Abstract
Fading in communication channels presents eminently stochastic characteristics and is a significant challenge, especially at millimeter wave (mmW) frequencies, where the need for lines of sight and the high attenuation of obstacles complicate transmission. This article presents a model based on Bayesian fundamentals [...] Read more.
Fading in communication channels presents eminently stochastic characteristics and is a significant challenge, especially at millimeter wave (mmW) frequencies, where the need for lines of sight and the high attenuation of obstacles complicate transmission. This article presents a model based on Bayesian fundamentals intended to improve the description and simulation of stochastic fading effects in these channels. It also includes the use of signal processing techniques to simulate and reconstruct the received signal, simulating the communication channel with an FIR filter. The results obtained by simulating the model show its ability to efficiently capture rapid and profound variations in the signal, typical of those that occur in urban and suburban environments and transmissions in the mmW spectrum. It also provides greater uniformity in signal reconstruction compared to the traditional models that are in use. Using Bayesian fundamentals, which allow dynamic adaptation to change in channel behavior, can improve the efficiency and reliability of networks, especially modern smart networks. Compared to traditional models, the proposed model offers improved signal reconstruction and fading mitigation accuracy, with prospects for future integration in smart communication systems. The better capacity in signal reconstruction presents itself as a differentiator of the model, suggesting greater precision in data transmission. Full article
(This article belongs to the Special Issue Advances in Signal Processing for Wireless Communications)
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9 pages, 6148 KiB  
Article
Adaptive Sparse Regular Split Gaussian Kernel Least Mean Square Algorithm for Super-Low-Frequency Motion-Induced Noise Cancellation
by Hao Zuo, Xu Xie, Shize Wei and Yanxin Jiang
Electronics 2024, 13(15), 2992; https://doi.org/10.3390/electronics13152992 - 29 Jul 2024
Viewed by 607
Abstract
In super-low-frequency (SLF) submarine communication, the motion-induced noise of the towed antenna is the primary noise source, and below 500 Hz, it increases with increasing speed. We propose an improved quadratic Approximate Forward–Backward Split Gaussian Kernel Least Mean Square Algorithm (ASRSG–KLMS) based on [...] Read more.
In super-low-frequency (SLF) submarine communication, the motion-induced noise of the towed antenna is the primary noise source, and below 500 Hz, it increases with increasing speed. We propose an improved quadratic Approximate Forward–Backward Split Gaussian Kernel Least Mean Square Algorithm (ASRSG–KLMS) based on the forward–backward split criterion using noise approximation of the nonlinear kernel least mean square, which introduces an L2-paradigm regularization term and has good sparsity while maintaining optimization stability. The ASRSG–KLMS algorithm could improve the narrowband signal-to-noise ratio by approximately 6.93 dB in the frequency range of 45–55 Hz, making it suitable for motion-induced noise cancellation in the SLF band. Full article
(This article belongs to the Special Issue Advances in Signal Processing for Wireless Communications)
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20 pages, 12493 KiB  
Article
Passive Electrical and Optical Methods of Ultra-Short Pulse Expansion for Event Timer-Based TDC in PPM Receiver
by Arturs Aboltins, Tatjana Solovjova, Janis Semenako, Romans Kusnins, Sandis Migla, Pauls Eriks Sics, Oskars Selis, Nikolajs Tihomorskis, Dmitrijs Prigunovs, Armands Ostrovskis and Sandis Spolitis
Electronics 2023, 12(22), 4634; https://doi.org/10.3390/electronics12224634 - 13 Nov 2023
Viewed by 1448
Abstract
The energy efficiency of a communication system using pulse position modulation (PPM) can be increased by reducing the duration of the pulses transmitted over the communication channel to several tens of picoseconds. The employment of an event timer device as a time-to-digital converter [...] Read more.
The energy efficiency of a communication system using pulse position modulation (PPM) can be increased by reducing the duration of the pulses transmitted over the communication channel to several tens of picoseconds. The employment of an event timer device as a time-to-digital converter (TDC) for demodulation allows the use of PPM with many pulse positions and achieves competitive data transfer speeds. However, along with several-picosecond accuracy of modern event timers, they require a pulse duration of several hundred picoseconds for precise detection. This research is devoted to developing passive techniques for precise pulse expansion from tens of picoseconds to hundreds of picoseconds. We propose two methods: the electrical method, which employs a microstrip low-pass filter (LPF), and the optical method, which uses fiber Bragg grating (FBG). This research offers a detailed analysis of distortion-free pulse expansion requirements, the design of prototypes meeting these requirements, and experimental design verification. Theoretical background, mathematical models, and results of experimental validation of the proposed pulse expansion methods within the laboratory transmitted reference pulse-position modulation (TR-PPM) communication system are provided. Full article
(This article belongs to the Special Issue Advances in Signal Processing for Wireless Communications)
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17 pages, 5245 KiB  
Article
Proof of Concept of the Use of the Parametric Effect in Two Media with Application to Underwater Acoustic Communications
by María Campo-Valera, Ignacio Rodríguez-Rodríguez, José-Víctor Rodríguez and Luis-Jorge Herrera-Fernández
Electronics 2023, 12(16), 3459; https://doi.org/10.3390/electronics12163459 - 15 Aug 2023
Cited by 4 | Viewed by 1437
Abstract
Nonlinear acoustics offers a new range of acoustic applications that are currently being exploited. The parametric nonlinear effect—the occurrence of low frequencies with modulated high-frequency emission—is of particular interest. This work provides a systematic exposition of the theoretical framework on which the so-called [...] Read more.
Nonlinear acoustics offers a new range of acoustic applications that are currently being exploited. The parametric nonlinear effect—the occurrence of low frequencies with modulated high-frequency emission—is of particular interest. This work provides a systematic exposition of the theoretical framework on which the so-called parametric nonlinear effect is based. In relation to this behavior is an analytical discussion of how to solve the problem for two cases: (i) nonlinear behavior with modulation, and (ii) parametric emission of two monochromatic waves (bi-frequency). Subsequently, parametric emission experiments were carried out in air and water using the same transducer to compare the results with those obtained theoretically. In this sense, directivity and attenuation measurements are obtained. Conclusively, this research offers a proof of concept for underwater acoustic communications. It is characterized by the transmission of a binary sequence through Frequency Shift Keying (FSK) modulation, and the subsequent decoding of each received bit (either 1 or 0) utilizing advanced signal processing with the cross-correlation technique. This paper accentuates the significant potential of employing the parametric effect for specialized communication applications. Full article
(This article belongs to the Special Issue Advances in Signal Processing for Wireless Communications)
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