A CPFSK Transceiver With Hybrid CSS–DSSS Spreading for LPWAN PHY Communication
Traditional low-power wide-area network (LPWAN) transceivers typically compromise data rates to achieve deep coverage. This paper presents a novel transceiver that achieves high receiver sensitivity and low computational complexity. At the transmitter, we replace the conventional direct sequence spread spectrum (DSSS) preamble with a chirp spread spectrum (CSS) preamble, consisting of a pair of down-chirp and up-chirp signals that are conjugate to each other, simplifying packet synchronization. For enhanced coverage, the payload incorporates continuous phase frequency shift keying (CPFSK) to maintain a constant envelope and phase continuity, in conjunction with DSSS to achieve a high spreading gain. At the receiver, we develop a double-peak detection method to improve synchronization and a non-coherent joint despreading and demodulation scheme that increases receiver sensitivity while maintaining simplicity in implementation. Furthermore, we optimize the preamble detection threshold and spreading sequences for maximum non-coherent receiver performance. The software-defined radio (SDR) prototype, developed using GNU Radio and USRP, along with operational snapshots, showcases its practical engineering applications. Extensive Monte Carlo simulations and field-test trials demonstrate that our transceiver outperforms traditional ones in terms of receiver sensitivity, while also being low in complexity and cost-effective for LPWAN requirements.
Authors
- T. J. Min
- Peiran Wu (ORCID: https://orcid.org/0000-0001-9747-3629)
- Minghua Xia (ORCID: https://orcid.org/0000-0002-0820-2227)
- Wenkun Wen (ORCID: https://orcid.org/0009-0002-1915-7748)
- Ruiqi Zhang (ORCID: https://orcid.org/0000-0003-3901-8737)
Institutions
- Sun Yat-sen University (CN)
- CE Technologies (United Kingdom) (GB)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/jiot.2025.3595159
- Citations
- 1
- Primary Topic
- IoT Networks and Protocols
- Type
- article
- Field-Weighted Citation Impact
- 0.73