Data-Aided Parameters Estimation of Satellite-Based AIS Signals

Abstract:

Aiming at the problem of poor accuracy and small range of frequency estimation in the area of satellite-based AIS signals, this paper presents a novel data-aided estimation method based on the autocorrelation and DFT. The algorithm determines the principal value and the expansion of the frequency and then acquires high-precision estimation by data fitting. Based on that, other parameters can be estimated. Computer simulations were used to illustrate better estimation accuracy and a large estimation range.

• Periodical: Advanced Materials Research (Volumes 816-817)
• Pages: 862-865
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.816-817.862
• Online since: September 2013
• Authors: She Xiang Ma, Xiao Juan Liu, Xin Meng
• Keywords: Autocorrelation, Discrete Fourier Transform (DFT), Parameter Sestimation, Satellite-Based Automatic Identification System (AIS) Signals

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