Frequency Offset Tolerant Demodulation for Low Data Rate and Narrowband Wireless Sensor Node

    Research output: Contribution to conferencePaper

    Abstract

    The issue of frequency offset in low data rate, narrowband and low power communication nodes is considered in this paper. To avoid power hungry precise frequency generation, offset tolerant demodulation and detection schemes are investigated. A Short-Time DFT (ST-DFT) based detection for BFSK is introduced which improves the BER performance of an existing design by almost 1dB. Its BER performance and complexity are also compared to frequency offset tolerant DDBPSK demodulation. Additionally, the effect of wider filter required to capture signal in presence of frequency offset is considered. The trade-off between performance and complexity for different offset values and filter bandwidths is discussed. Both methods work independent of frequency offset; however, it is shown that wider filters do not affect ST-DFT BER performance in contrast with DDBPSK. This robustness is obtained at the expense of increased computational load.
    Original languageEnglish
    Number of pages8
    Publication statusPublished - 13 Dec 2017
    Event11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017 - Surfers Paradise, Gold Coast, Australia
    Duration: 13 Dec 201715 Dec 2017
    Conference number: 11

    Conference

    Conference11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017
    Abbreviated titleICSPCS
    CountryAustralia
    CityGold Coast
    Period13/12/1715/12/17

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    Keywords

    • phase shift keying
    • Wireless Sensor Networks (WSN)
    • Discrete Fourier transforms
    • double differential modulation
    • frequency shift keying

    Cite this

    Safapourhajari, S., & Kokkeler, A. B. J. (2017). Frequency Offset Tolerant Demodulation for Low Data Rate and Narrowband Wireless Sensor Node. Paper presented at 11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017, Gold Coast, Australia.