PMID- 35632204
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220716
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 22
IP  - 10
DP  - 2022 May 17
TI  - A Real-Time GNSS-R System for Monitoring Sea Surface Wind Speed and Significant 
      Wave Height.
LID - 10.3390/s22103795 [doi]
LID - 3795
AB  - This paper presents a monitoring system based on Global Navigation Satellite 
      System (GNSS) reflected signals to provide real-time observations of sea 
      conditions. Instead of a computer, the system uses a custom-built hardware 
      platform that incorporates Radio Frequency (RF), Field Programmable Gate Array 
      (FPGA), Digital Signal Processing (DSP), and Raspberry Pi for real-time signal 
      processing. The suggested structure completes the navigation signal's positioning 
      as well as the reflected signal's feature extraction. Field tests are conducted 
      to confirm the effectiveness of the system and the retrieval algorithm described 
      in this research. The entire system collects and analyzes signals at a coastal 
      site in the field experiment, producing sea surface wind speed and significant 
      wave height (SWH) that are compared to local weather station data, demonstrating 
      the system's practicality. The system can allow the centralized monitoring of 
      many sites, as well as field experiments and real-time early warning at sea.
FAU - Xing, Jin
AU  - Xing J
AUID- ORCID: 0000-0002-7385-9567
AD  - School of Electronic and Information Engineering, Beihang University, Beijing 
      100191, China.
FAU - Yu, Baoguo
AU  - Yu B
AD  - State Key Laboratory of Satellite Navigation System and Equipment Technology, 
      Shijiazhuang 050200, China.
FAU - Yang, Dongkai
AU  - Yang D
AD  - School of Electronic and Information Engineering, Beihang University, Beijing 
      100191, China.
FAU - Li, Jie
AU  - Li J
AD  - School of Electronic and Information Engineering, Beihang University, Beijing 
      100191, China.
FAU - Shi, Zhejia
AU  - Shi Z
AD  - School of Electronic and Information Engineering, Beihang University, Beijing 
      100191, China.
FAU - Zhang, Guodong
AU  - Zhang G
AUID- ORCID: 0000-0001-7632-9046
AD  - School of Electronic and Information Engineering, Beihang University, Beijing 
      100191, China.
FAU - Wang, Feng
AU  - Wang F
AD  - School of Electronic and Information Engineering, Beihang University, Beijing 
      100191, China.
LA  - eng
GR  - BX20200039/China Postdoctoral Innovation Talent Support Program/
GR  - 42104031/National Natural Science Foundation of China/
PT  - Journal Article
DEP - 20220517
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC9143471
OTO - NOTNLM
OT  - GNSS reflected signals
OT  - monitoring system
OT  - sea conditons
COIS- The authors declare no conflict of interest.
EDAT- 2022/05/29 06:00
MHDA- 2022/05/29 06:01
PMCR- 2022/05/17
CRDT- 2022/05/28 01:42
PHST- 2022/03/16 00:00 [received]
PHST- 2022/04/26 00:00 [revised]
PHST- 2022/05/04 00:00 [accepted]
PHST- 2022/05/28 01:42 [entrez]
PHST- 2022/05/29 06:00 [pubmed]
PHST- 2022/05/29 06:01 [medline]
PHST- 2022/05/17 00:00 [pmc-release]
AID - s22103795 [pii]
AID - sensors-22-03795 [pii]
AID - 10.3390/s22103795 [doi]
PST - epublish
SO  - Sensors (Basel). 2022 May 17;22(10):3795. doi: 10.3390/s22103795.