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Electronics
Special Issues
Advanced Techniques for Cooperative Sensing and Detection
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Advanced Techniques for Cooperative Sensing and Detection

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 2488

Special Issue Editors

Dr. Yun Chen

E-Mail Website
Guest Editor
State Key Laboratory of ASIC and System, Fudan University, Shanghai 200437, China
Interests: baseband chip design for high energy efficiency multimode communication; VLSI implementation of intelligent digital signal processing systems; metamaterial active control systems
Dr. Peng Chen

E-Mail Website
Guest Editor
State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
Interests: radar signal processing; millimeter wave radar system; target localization; super-resolution methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Target detection and perception based on cooperative networking can improve the  detection, estimation, imaging, and tracking performance, and has been an essential method in both military and civilian applications. Using the unmanned aerial vehicles (UAV), millimeter wave technology, artificial intelligence (AI) technology, and intelligent transportation, the  cooperative sensing methods need intelligent, efficient, and flexible for the practical applications.  In recent decades, the joint radar-communication system, and the cooperative sensing and detection methods can significantly improve both the radar and wireless communication performance. Moreover, some novel methods enhance efficiency and flexibility of the detection and estimation.

This Special Issue aims to gather the most recent development of cooperative sensing and detection methods, covering, but not limited to, the following scopes:

  • MIMO sensing and optimization methods;
  • Target detection, estimation, imaging, and tracking methods;
  • Joint radar and communication systems;
  • Target localization methods;
  • Array signal processing methods.

Dr. Yun Chen
Dr. Peng Chen
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 communication
  • photo-communication
  • subsurface communication
  • intelligent signal processing
  • cooperative sensing
  • target detection
  • joint radar and communication

Published Papers (2 papers)

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Research

12 pages, 685 KiB  
Article
Efficient Layered Parallel Architecture and Application for Large Matrix LDPC Decoder
by Jimin Wang, Jiarui Yang, Guojie Zhang, Xiaoyang Zeng and Yun Chen
Electronics 2023, 12(18), 3784; https://doi.org/10.3390/electronics12183784 - 7 Sep 2023
Cited by 1 | Viewed by 883
Abstract
For a 50G passive optical network (PON) low-density parity-check (LDPC) decoder, decoding performance and area efficiency must be balanced. This paper adopts a layered decoder method to improve the area efficiency of the decoder. By parallel processing of three submatrices and storage reuse [...] Read more.
For a 50G passive optical network (PON) low-density parity-check (LDPC) decoder, decoding performance and area efficiency must be balanced. This paper adopts a layered decoder method to improve the area efficiency of the decoder. By parallel processing of three submatrices and storage reuse of node information, optimizing the matrix partitioning and processing order of the 50G-PON standard, the throughput of 1235 bps was reached under 100 MHz circuit frequency in field-programmable gate array (FPGA) implementation, and 9.864 Gbps was achieved based on Taiwan semiconductor manufacturing company (TSMC) 65 nm synthesis with 800 MHz circuit frequency in an area of 2.61 mm2 by proposing a mechanism of spare decision storage to avoid errors caused by quantization overflow of the decoder and using full verification to terminate decoding in advance to improve performance. Finally, at an input bit error rate (BER) of 2.3×10−2 (signal-to-noise ratio (SNR) of about 3.72 dB), the output BER was lower than 10−12, and the throughput area rate (TAR) also increased by 2 to 4 times compared with other papers. In conclusion, an area-efficient LDPC decoder without sacrificing decoding performance is made. Full article
(This article belongs to the Special Issue Advanced Techniques for Cooperative Sensing and Detection)
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14 pages, 774 KiB  
Article
Robust Channel Estimation Scheme for Multi-UAV MmWave MIMO Communication with Jittering
by Conghui Lu and Peng Chen
Electronics 2023, 12(9), 2102; https://doi.org/10.3390/electronics12092102 - 4 May 2023
Cited by 1 | Viewed by 1190
Abstract
In unmanned aerial vehicle (UAV)-assisted millimeter-wave (mmWave) communications, the communication performance is significantly degraded by UAV jitter. We formulate a UAV-assisted mmWave channel model with hybrid beamforming for the impacts of UAV jitter. Then, we derive the distribution of angle of arrivals/departures (AOAs/AODs) [...] Read more.
In unmanned aerial vehicle (UAV)-assisted millimeter-wave (mmWave) communications, the communication performance is significantly degraded by UAV jitter. We formulate a UAV-assisted mmWave channel model with hybrid beamforming for the impacts of UAV jitter. Then, we derive the distribution of angle of arrivals/departures (AOAs/AODs) with random fluctuation of the UAV attitude angle. We develop an iterative reweight-based robust scheme as the super-resolution AOAs/AODs estimation method. Specifically, we introduce the partially adaptive momentum (Padam) estimation method to optimize the objective function of the jittering UAV mmWave massive multi-input multioutput (MIMO) system. Finally, compared with existing channel estimation schemes, the proposed UAV mmWave channel estimation method can achieve robust super-resolution performance in AOAs/AODs and path gains estimation with numerical results. Therefore, the proposed channel estimation scheme is very suitable for UAV mmWave massive MIMO communications with jittering. Full article
(This article belongs to the Special Issue Advanced Techniques for Cooperative Sensing and Detection)
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