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Special Issue "Advanced Digital Signal Processing for Future Digital Communications"

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

Deadline for manuscript submissions: 1 May 2024 | Viewed by 5139

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Special Issue Editor

Dr. Da Chen

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Guest Editor

School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: wireless communication; multicarrier modulation; MIMO communication; waveform design

Special Issue Information

Dear Colleagues,

Digital communication is a communication method that uses a digital signal as the carrier to transmit messages or uses a digital signal to digitally modulate the carrier and then transmits it. It has the characteristics of strong anti-interference ability, controllable transmission error, easy encryption, and easy storage. Digital communication systems are the dominant type of communication system and are widely used in mobile phones, computers, video telephones, network conferences, and so on. Digital communication systems are developing towards high speed, large capacity, and long distance. Digital signal processing (DSP) is a process of transforming analog signals into digital signals and using special technology to expand the processing. At present, digital signal processing technology has been applied in image processing, military, medical, communication, and other fields. In the future, digital signal processing will develop towards the research of fast and efficient algorithms, high-speed hardware implementation, and new application research.

This Special Issue focuses on the application of digital signal processing algorithms to future digital communication systems to help the reader clarify the motivations and methods of various signal processing algorithms to use them for hitherto undeveloped services as well as future scenarios of communication systems. Potential topics include, but are not limited to the following:

Advanced coding and modulation/waveform techniques;
Agile and efficient multiple access techniques;
MIMO signal processing techniques;
Radar signal processing techniques;
Reconfigurable intelligent surfaces-assisted techniques;
Underwater signal processing techniques;
Channel modeling, sensing and measurement techniques;
Sparse signal processing for grant-free massive connectivity;
Signal processing optimization for federated learning.

Dr. Da Chen
Guest Editor

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 2200 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

digital signal processing
digital communication

Published Papers (7 papers)

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Research

Open AccessArticle

Generation of Terahertz OAM Waves with Six Modes Based on Three-Layer Z-Shaped Reflective Metasurface

and

Electronics 2023, 12(13), 2859; https://doi.org/10.3390/electronics12132859 - 28 Jun 2023

Viewed by 517

Abstract

In this paper, a broadband and efficient three-layer Z-shaped reflective metasurface for linear polarization conversion is designed and six different modes of orbital angular momentum (OAM) waves are generated in the terahertz band. The designed metasurface consisted of several units, and it is divided into twelve regions. The phase difference is achieved by changing the structural parameters of the units, and then different modes of OAM waves are generated. The terahertz OAM waves with the modes of

\pm 1

\pm 2

, and

\pm 3

are generated by metasurface with high efficiency and wide bandwidth. The results show that the designed metasurface could produce high purity terahertz OAM waves with six different modes, and the reflection amplitude of the metasurface unit is more than 0.9 in the frequency range of 1.0 THz to 1.8 THz. The generated OAM waves with the modes of

\pm 1

and

\pm 2

have a mode purity more than 90%. The designed metasurface has good wavefront control ability, which provides an effective method to generate multimode OAM waves. Full article

(This article belongs to the Special Issue Advanced Digital Signal Processing for Future Digital Communications)

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Open AccessArticle

Soft Decision Decoding with Cyclic Information Set and the Decoder Architecture for Cyclic Codes

Weigang Chen

Tian Zhao

and

Changcai Han

Electronics 2023, 12(12), 2693; https://doi.org/10.3390/electronics12122693 - 16 Jun 2023

Viewed by 611

Abstract

The soft decision decoding algorithm for cyclic codes, especially the maximum likelihood (ML) decoding algorithm, can obtain significant performance superior to that of algebraic decoding, but the complexity is much higher. To deal with this problem, an improved soft decision decoding algorithm based on a cyclic information set and its efficient implementation architecture are proposed. This algorithm employs the property of the cyclic codes to generate a series of cyclic information sequences by circularly shifting, constructing the cyclic information set. Then, a limited number of candidate information sequences are efficiently generated using an iterative computation method, and the candidate codewords are generated using the very concise encoding method of the cyclic codes. Furthermore, the efficient hardware architecture based on systolic arrays is also proposed to generate candidate information sequences and to select the optimal candidate codewords. An emulation platform is constructed to verify the error correction performance and to determine the optimal decoder parameters. Emulation results indicate that, with appropriate parameter selection, the proposed decoding algorithm can achieve a bit error rate approaching the ML performance while maintaining low complexity. Full article

(This article belongs to the Special Issue Advanced Digital Signal Processing for Future Digital Communications)

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Open AccessArticle

An Efficient Random Access Reception Algorithm for ToA Estimation in NB-IoT

and

Electronics 2023, 12(12), 2636; https://doi.org/10.3390/electronics12122636 - 12 Jun 2023

Viewed by 377

Abstract

Narrowband Internet of Things (NB-IoT) aims to provide wide coverage for a massive number of low-cost devices. Therefore, an NB-IoT physical random access channel (NPRACH) preamble based on a single tone signal with frequency hopping was designed, enabling the base station to estimate the time-of-arrival (ToA) values for realizing uplink synchronization among multiple users. However, due to residual carrier frequency offset (RCFO) in the NPRACH preamble, it is crucial to keep the accuracy of the ToA estimation. Recognizing this urgency, in this paper we first judiciously investigate the effect of the hooping distance on ToA estimation. With which, we propose an efficient receiving algorithm to improve the accuracy of ToA estimation. The main aim of the algorithm is to treat two consecutive symbol groups as a whole and then carry out difference calculations on the two newly constituted symbol groups to construct a more logical frequency hopping distance. Extensive numerical results validate the superiorly of our proposed scheme compared against conventional strategies, showing that the probability of the ToA estimation obtained by this method is 99% within the acceptable error range. Full article

(This article belongs to the Special Issue Advanced Digital Signal Processing for Future Digital Communications)

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Open AccessArticle

Method for Digital Cancellation of System Interference in a Full-Duplex Power Line Communication System

and

Electronics 2023, 12(10), 2211; https://doi.org/10.3390/electronics12102211 - 12 May 2023

Viewed by 516

Abstract

Every year the number of IoT devices is growing, which gives a boost to development of such technology as Power Line Communication (PLC). The term PLC refers to the use of a power supply circuit to transmit data. Full-duplex technology can be applied to increase the data transfer rate in a PLC. The difficulty in using a full duplex is the need to suppress the transmitter’s own signal (interference signal). Analog cancellation and digital cancellation are used for this purpose. Common algorithms for digital cancellation are adaptive algorithms. In this paper adaptive algorithms such as Particle Swarm Optimization (PSO) and Recursive Least Squares (RLS) are considered and a modification of the classical RLS is proposed. The proposed algorithm uses precalculated weight coefficients together with periodic reinitialization of the filter. This avoids the influence of significant changes in the input signal on the further process of filter adaptation and provides the highest level of echo suppression. The proposed algorithm provides an improvement of parameters such as Error Vector Magnitude (EVM) and Signal-to-Interference Ratio (SIR) in comparison with classical RLS and PSO, according to the results of the study. Full article

(This article belongs to the Special Issue Advanced Digital Signal Processing for Future Digital Communications)

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Open AccessCommunication

Motion-Induced Noise Detection of Electrode-Pair Towed Antennas Using Helix Coil Sensors

and

Electronics 2023, 12(7), 1677; https://doi.org/10.3390/electronics12071677 - 02 Apr 2023

Viewed by 695

Abstract

Electrode-pair towed antennas are widely utilized for marine electromagnetic detection, underwater communication, and other purposes. However, the motion-induced noise created by antenna vibrations due to environmental turbulence affects extremely low frequency and super low frequency (ELF/SLF) communications. In this article, we presented a method for detecting the motion-induced noise of electrode-pair towed antennas using helix coil sensors. The equivalent resistance, inductance, capacitance, and conductance (RLCG) transmission model and parameters were derived based on the mirror method of the twisted structure with a shielding layer inside. A water-flow cycling experimental platform was constructed to evaluate two types of antenna sections. Electrode-pair, accelerators, and helix coils sensors signals were sampled and analyzed in time and frequency domain. The comparison results demonstrated that the helix coil sensors achieved a high correlation with the electrode-pair towed antenna in various vibration speeds ranging from 0.7 to 0.9. Full article

(This article belongs to the Special Issue Advanced Digital Signal Processing for Future Digital Communications)

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Open AccessCommunication

High-Performance QC-LDPC Code Co-Processing Approach and VLSI Architecture for Wi-Fi 6

Yujun Wu

Bin Wu

and

Xiaoping Zhou

Electronics 2023, 12(5), 1210; https://doi.org/10.3390/electronics12051210 - 03 Mar 2023

Cited by 1 | Viewed by 853

Abstract

The QC-LDPC code, with its excellent error correction performance and hardware friendliness, has been identified as one of the channel encoding schemes by Wi-Fi 6. Shorting, puncturing, or repeating operations are needed to ensure that user data can be sent with integer symbols and complete rate matching. Due to the uncertainty of the user data size, the modulation’s selectivity, and the difference in the number of spatial streams, the receiver must deal with more than 10⁶ situations. At the same time, other computationally intensive tasks occupy the time slot budget of the receiver. Typical are demodulation and decoding. Hence, the receiver needs to quickly reverse the demodulated data process. This paper first proposes a co-processing method and VLSI architecture compatible with all code lengths, code rates, and processing parameters. The co-processor separates field and block splicing, simplifying the control logic. There is no throughput rate bottleneck, and the maximum delay is less than 1 us. Full article

(This article belongs to the Special Issue Advanced Digital Signal Processing for Future Digital Communications)

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Open AccessArticle

A Tensor-Based Approach to Blind Despreading of Long-Code Multiuser DSSS Signals

and

Electronics 2023, 12(5), 1097; https://doi.org/10.3390/electronics12051097 - 22 Feb 2023

Viewed by 686

Abstract

In this paper, a tensor-based approach to blind despreading of long-code multiuser DSSS signals is proposed. We aim to generalize the tensor-based methods originally developed for blind separation of short-code multiuser DSSS signals to long-code cases. Firstly, we model the intercepted long-code multiuser DSSS signals with an antenna-array receiver as a three-order tensor with missing values, and then, the blind separation problem can be formulated as a canonical or parallel factor (CANDECOMP/PARAFAC) decomposition problem of the missing-data tensor, which can be solved using optimum methods. Secondly, a constrained Cramér–Rao Bound (CRB) is also derived to provide a performance benchmark for the proposed approach. Simulation results verify the feasibility of our proposed approach in the case of low signal-to-noise (SNR) conditions. Full article

(This article belongs to the Special Issue Advanced Digital Signal Processing for Future Digital Communications)

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