TY - JOUR
T1 - GNSS Code Multipath Time-Frequency Analysis Using Wavelet-Based Synchrosqueezing Transform in Urban Environments
AU - Dey, Abhijit
AU - Xu, Bing
AU - Lu, Xueyan
AU - Sharma, Nitin
N1 - Funding Information:
This work was supported in part by the Science and Engineering Research Board (SERB) Project under Grant CRG/2021/006784 and in part by National Natural Science Foundation of China (NSFC) under Grant 62103346.
Publisher Copyright:
© 2004-2012 IEEE.
PY - 2022/4/18
Y1 - 2022/4/18
N2 - Time-frequency (TF) analysis can be used as a useful tool to detect the global navigation satellite system (GNSS) code multipath (MP) and its frequency content. An accurate TF representation (TFR) is critical for highlighting the MP's frequency signature and identifying its possible sources. The popular short-time Fourier transform (STFT) method has limitations in dealing with fast varying instantaneous frequencies, which are frequently observed in global navigation satellite system (GNSS) measurements due to MP. The wavelet-based synchrosqueezing transform (WSST) is a potential technique for providing a detailed high-resolution TFR. In this letter, we use WSST to perform TF analysis on both simulated and real-world data, demonstrating its utility in detecting code MP and its frequency content in urban environments. Based on the results, possible MP sources for the real datasets were identified. Furthermore, the proposed technique's TF analysis results were validated using the ray-tracing method, demonstrating its effectiveness for MP detection.
AB - Time-frequency (TF) analysis can be used as a useful tool to detect the global navigation satellite system (GNSS) code multipath (MP) and its frequency content. An accurate TF representation (TFR) is critical for highlighting the MP's frequency signature and identifying its possible sources. The popular short-time Fourier transform (STFT) method has limitations in dealing with fast varying instantaneous frequencies, which are frequently observed in global navigation satellite system (GNSS) measurements due to MP. The wavelet-based synchrosqueezing transform (WSST) is a potential technique for providing a detailed high-resolution TFR. In this letter, we use WSST to perform TF analysis on both simulated and real-world data, demonstrating its utility in detecting code MP and its frequency content in urban environments. Based on the results, possible MP sources for the real datasets were identified. Furthermore, the proposed technique's TF analysis results were validated using the ray-tracing method, demonstrating its effectiveness for MP detection.
KW - Code-minus-carrier (CMC)
KW - Global navigation satellite system (GNSS)
KW - Multipath (MP)
KW - Time-frequency (TF) analysis
KW - Wavelet-based synchrosqueezing transform (WSST)
UR - http://www.scopus.com/inward/record.url?scp=85128633346&partnerID=8YFLogxK
U2 - 10.1109/LGRS.2022.3167738
DO - 10.1109/LGRS.2022.3167738
M3 - Journal article
AN - SCOPUS:85128633346
SN - 1545-598X
VL - 19
JO - IEEE Geoscience and Remote Sensing Letters
JF - IEEE Geoscience and Remote Sensing Letters
M1 - 3512005
ER -