Abstract
This paper presents an improved non-data-aided algorithm for carrier frequency estimation for burst M-ary PSK signals when modulation order M and training symbols are unknown. Unlike data-aided estimation, a phase clustering algorithm is used first to estimate M and modulated information is removed by a variable interval linear phase unwrapping. Then, a high-order correlation algorithm with proper correction is present, which reduces the probability of phase ambiguity and promotes anti-noise capability of the estimation. Simulations are given to analyze the unbiased estimation range, and the asymptotic performance and symbol number are needed to compare with the former algorithms. The new algorithm has a large estimation range close to the theoretical maximum value for non-data-aided estimation and has a better performance than earlier non-data-aided techniques for large frequency offset, low signal-to-noise ratio, and limited symbol numbers.
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Foundation item: Supported by the National Natural Science Foundation of China (61001111)
Biography: YUAN Xiaohua, male, Ph.D. candidate, research direction: blind signal processing, automatic modulation recognition.
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Yuan, X., Zheng, H., Zhao, Z. et al. An improved algorithm for blind carrier frequency estimation with burst MPSK transmissions. Wuhan Univ. J. Nat. Sci. 18, 55–58 (2013). https://doi.org/10.1007/s11859-013-0893-0
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DOI: https://doi.org/10.1007/s11859-013-0893-0
Key words
- burst
- MPSK
- signal
- automatic
- modulation
- recognition
- non-data-aided
- carrier
- frequency
- offset
- linear
- phase
- unwrapping
- high-order
- correlation