Distributed Radar Network with Polymer Microwave Fiber (PMF) Based Synchronization

被引：0

作者：

Samarasekera, A. Chaminda J. ^{[1
]}

Fernandez, Sergio Lopez ^{[1
]}

Feger, Reinhard ^{[1
]}

Huettner, Richard ^{[1
]}

Gruson, Frank ^{[2
]}

Krainer, Siegfried ^{[3
]}

Stelzer, Andreas ^{[1
]}

机构：

[1] Johannes Kepler Univ Linz, Linz, Austria

[2] ZF Friedrichshafen AG, Friedrichshafen, Germany

[3] Infineon Technol Austria AG, Villach, Austria

来源：

2024 IEEE TOPICAL CONFERENCE ON WIRELESS SENSORS AND SENSOR NETWORKS, WISNET | 2024年

关键词：

Distributed radar network; frequency-modulated continuous-wave (FMCW) radar; polymer microwave fiber (PMF); synchronization; multi-static radar;

D O I：

10.1109/WiSNeT59910.2024.10438574

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Distributed radar networks provide numerous advantages, such as increased angular resolution and improved signal-to-noise ratio. However, the requirement of having the chirped local oscillator (f(TX)) signal distributed to minimize the phase noise of the bi-static and multi-static responses of such networks increases their complexity and expenses. Our work shows that it is possible to synthesize the frequency-modulated continuous-wave signal in a central module and distribute it at f(TX/2) via polymer microwave fiber (PMF) to radar nodes operating in the 76-81 GHz band. Thus, we are able to fulfill the requirement of being a coherent distributed radar network as well as bring the cost down by using PMF for the f(TX/2) distribution. Furthermore, we compare the performances of the same PMF based radar network with a coaxial cable based radar network for f(TX/2) distribution, and the performances are comparable.

引用

页码：1 / 4

页数：4

共 50 条

[31] Accelerating model synchronization for distributed machine learning in an optical wide area network
Liu, Ling
Song, Liangjun
Chen, Xi
Yu, Hongfang
Sun, Gang
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2022, 14 (10) : 852 - 865
[32] Observer-based Synchronization of Networked Distributed Parameter Systems
Lou, Xuyang
Ye, Qian
Cui, Baotong
2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 4825 - 4829
[33] PROCESSING-BASED SYNCHRONIZATION APPROACH FOR BISTATIC RADAR GLACIAL TOMOGRAPHY
Bienert, Nicole L.
Schroeder, Dustin M.
Peters, Sean T.
Siegfried, Matthew R.
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 1420 - 1423
[34] Lagrange Programming Neural Network Approach for Target Localization in Distributed MIMO Radar
Liang, Junli
Leung, Chi Sing
So, Hing Cheung
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (06) : 1574 - 1585
[35] Bandwidth, Carrier Frequency, and Waveform Optimization for Sensing and Communications in a Distributed Radar Network
Chalise, Batu K.
Kirk, Benjamin H.
Ranney, Kenneth
2024 IEEE RADAR CONFERENCE, RADARCONF 2024, 2024,
[36] Multi-frame joint track initiation method for distributed radar network
Liu H.
Chen C.
Huang K.
Lu B.
Yue K.
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2022, 44 (07): : 2143 - 2147
[37] Exponential synchronization in complex-variable network with distributed delays via intermittent control
He, Sulan
Yi, Guisheng
Wu, Zhaoyan
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2017, 28 (07):
[38] Synchronization of Distributed Interrupts Delivery in Aerospace Onboard Networks Network and protocols, Short Paper
Koblyakova, Liudmila
Suvorova, Elena
Sheynin, Yuriy
PROCEEDINGS OF THE 7TH INTERNATIONAL SPACEWIRE CONFERENCE (SPACEWIRE 2016), 2016,
[39] Consecutive Synchronization of a Delayed Complex Dynamical Network via Distributed Adaptive Control Approach
Ali Kazemy
Jinde Cao
International Journal of Control, Automation and Systems, 2018, 16 : 2656 - 2664
[40] Distributed adaptive synchronization of complex dynamical network with unknown time-varying weights
Feng H.-N.
Li J.-M.
International Journal of Automation and Computing, 2015, 12 (3) : 323 - 329

← 1 2 3 4 5 →