Paper Info
Title
Time-Delay-Estimation-Liked Detection Algorithm for LoRa Signals over Multipath Channels
Abstract
LoRa promises long range reliable communication for the Internet of Things (IoT). However, multipath fading severely affects LoRa’s BER performance. In this letter, we propose a simple detection algorithm for the frame-based LoRa PHY signals mainly composed of a preamble and a variable-length PHY-payload. We first prove that detecting the frame-based LoRa signals over multipath fading channels can be formulated as a Time-delay-estimation (TDE)-liked problem. Based on this, a cyclic cross-correlation implemented by a matched filter is utilized to detect the LoRa signals. Additionally, the proposed TDE-liked detection algorithm is insensitive to the integer frequency offset due to the nature of implying a differential operation. The simulation results indicate that, the proposed algorithm significantly outperforms the existing detection algorithms for the LoRa signals over multipath fading channels. Under the multipath fading channel, the BER performance of the proposed algorithm is slightly inferior to that in the AWGN channel while the existing scheme fails to work.
Year
DOI
Venue
2020
10.1109/LWC.2020.2981597
IEEE Wireless Communications Letters
Keywords
DocType
Volume
Discrete Fourier transforms,Fading channels,Detection algorithms,Frequency-domain analysis,Correlation,Chirp,Cascading style sheets
Journal
9
Issue
ISSN
Citations 
7
2162-2337
2
PageRank 
References 
Authors
0.44
0
2
Name
Order
Citations
PageRank
Yurong Guo120.44
Zujun Liu25710.46