Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
2.3
2.4
Journals
Photonics
Special Issues
Microwave Photonic Signal Processing
share announcement

Microwave Photonic Signal Processing

A special issue of Photonics (ISSN 2304-6732).

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 6228

Special Issue Editor

Prof. Dr. Dan Zhu

E-Mail Website
Guest Editor
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, No. 29, Jiangjun Dadao Street, Jiangning District, Nanjing 211106, China
Interests: microwave photonic signal processing; cognitive radio enabled by photonics

Special Issue Information

Dear Colleagues,

MDPI Photonics invites manuscript submissions in microwave photonic signal processing. A global challenge faced by modern RF systems is to develop new services covering a broad bandwidth with a limited available spectrum source. Thus, future RF systems need to have the cognition capability to interact with the environment. Microwave photonic signal processing refers to information transformation and joint processing techniques with microwave signals in the time, space, frequency, and power domains based on microwave photonics. Introducing microwave photonic signal processing to design and enable the next generation of cognitive systems is an emerging line of research. The purpose of this Special Issue of MDPI Photonics is to highlight the recent progress and trends in microwave photonic signal processing to develop the next generation of microwave-photonics-based radar, communication, and measurement systems and so on with cognitive ability. Areas of interest include (but are not limited to):

  • Microwave-photonic-integrated circuits for signal processing;
  • Time-frequency transformation techniques for microwave photonic signal processing;
  • Novel applications of deep learning to microwave photonic signal processing;
  • Novel microwave photonic signal processing techniques and the system applications in radar, communication, measurement systems, and so on;
  • Microwave photonic signal sensing, generation, distribution, and processing techniques for cognitive systems.

Prof. Dr. Dan Zhu
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. Photonics is an international peer-reviewed open access monthly 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.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

12 pages, 20183 KiB  
Article
Coherent Random-Modulated Continuous-Wave LiDAR Based on Phase-Coded Subcarrier Modulation
by Zhongyang Xu, Fengxi Yu, Bowen Qiu, Yawei Zhang, Yu Xiang and Shilong Pan
Photonics 2021, 8(11), 475; https://doi.org/10.3390/photonics8110475 - 25 Oct 2021
Cited by 11 | Viewed by 3780
Abstract
A coherent random-modulated continuous-wave (RMCW) LiDAR transmits a lightwave modulated by a pseudo-random binary sequence (PRBS). The lightwave backscattered from targets is received and used to reconstruct the PRBS. Then, the time-of-flight is extracted by correlating the reconstructed PRBS and the original PRBS. [...] Read more.
A coherent random-modulated continuous-wave (RMCW) LiDAR transmits a lightwave modulated by a pseudo-random binary sequence (PRBS). The lightwave backscattered from targets is received and used to reconstruct the PRBS. Then, the time-of-flight is extracted by correlating the reconstructed PRBS and the original PRBS. We propose a coherent RMCW LiDAR based on phase-coded subcarrier modulation, in which the impacts of internal reflection and optical Doppler frequency shift (DFS) are mitigated. A continuous lightwave is amplitude-modulated by an RF signal which is phase-coded with a PRBS. Coherent detection is used in the receiver. A beat signal that consisted of a low-frequency signal and a high-frequency signal is obtained by a single balanced photodetector (BPD). The optical DFS can be directly extracted from the low-frequency signal. It is used to compensate for the frequency offset of PRBS, which is extracted from the high-frequency signal. In addition, the background noise caused by internal reflection is suppressed by averaging over successive measurement spots. In this paper, the performance of a coherent RMCW LiDAR is firstly analyzed by numeric simulations and demonstration experiments. Then, line-scanning measurements for moving targets are implemented to demonstrate the 3D imaging capability of the proposed coherent RMCW LiDAR. Full article
(This article belongs to the Special Issue Microwave Photonic Signal Processing)
►▼ Show Figures

Figure 1

11 pages, 3835 KiB  
Communication
Numerical Study of Parallel Optoelectronic Reservoir Computing to Enhance Nonlinear Channel Equalization
by Xingxing Feng, Lu Zhang, Xiaodan Pang, Xiazhen Gu and Xianbin Yu
Photonics 2021, 8(10), 406; https://doi.org/10.3390/photonics8100406 - 23 Sep 2021
Cited by 7 | Viewed by 1819
Abstract
Nonlinear impairment is one of the critical limits to enhancing the performance of high-speed communication systems. Traditional digital signal processing (DSP)-based nonlinear channel equalization schemes are influenced by limited bandwidth, high power consumption, and high processing latency. Optoelectronic reservoir computing (RC) is considered [...] Read more.
Nonlinear impairment is one of the critical limits to enhancing the performance of high-speed communication systems. Traditional digital signal processing (DSP)-based nonlinear channel equalization schemes are influenced by limited bandwidth, high power consumption, and high processing latency. Optoelectronic reservoir computing (RC) is considered a promising optical signal processing (OSP) technique with merits such as large bandwidth, high power efficiency, and low training complexity. In this paper, optoelectronic RC was employed to solve the nonlinear channel equalization problem. A parallel optoelectronic RC scheme with a dual-polarization Mach–Zehnder modulator (DPol-MZM) is proposed and demonstrated numerically. The nonlinear channel equalization performance was greatly enhanced compared with the traditional optoelectronic RC and the Volterra-based nonlinear DSP schemes. In addition, the system efficiency was improved with a single DPol-MZM. Full article
(This article belongs to the Special Issue Microwave Photonic Signal Processing)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop