Abstract
This study proposes a parameter estimation technique based on the short-time fractional Fourier transform (STFRFT) for Chirp/Frequency Hopping (Chirp/FH) spread spectrum signal. It is able to detect and estimate parameters for Chirp/FH signal at low signal-to-noise ratio (SNR). At the end, a comparison between the new method and short-time Fourier transform-based method is provided to illustrate the advantages.
Original language | English |
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Title of host publication | Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 |
Pages | 1260-1263 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2010 |
Event | 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 - Harbin, China Duration: 17 Sept 2010 → 19 Sept 2010 |
Publication series
Name | Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 |
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Conference
Conference | 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 |
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Country/Territory | China |
City | Harbin |
Period | 17/09/10 → 19/09/10 |
Keywords
- Chirp spread spectrum
- Frequency hopping
- Short-time fractional Fourier transform
- Time-fractional Fourier joint representation
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Zhang, W., & Tao, R. (2010). A time-fractional fourier joint representation-based parameter estimation method for Chirp/Frequency Hopping spread spectrum signal. In Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 (pp. 1260-1263). Article 5636140 (Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010). https://doi.org/10.1109/PCSPA.2010.309