An independent component analysis algorithm to extract Frequency-Shift Keying signal
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    Abstract:

    Due to the instability and the limited precision of traditional natural gradient Independent Component Analysis(ICA) algorithm to extract frequency shift track circuit Frequency-Shift Keying(FSK) signals,a kind of variable step-size natural gradient ICA algorithm is proposed based on whitening. According to the orthogonal constraint satisfied by separation matrix during whitening process, a kind of single-step orthogonal correction instead of whitening process is introduced. Then,a kind of single-step error estimation function is put forward based on the generalized degree of approximation between the separation matrix of each iteration and the optimal separation matrix. A nonlinear function is designed based on whitening to be the step-size adjusting function according to this error estimation. Simulation experiments indicate that the variable step-size natural gradient ICA algorithm based on whitening bears more stable and accurate de-noising performance for the detection and extraction of FSK signals compared with traditional natural gradient ICA algorithm.

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唐兴佳,张秀方.一种提取频移键控信号的独立分量分析算法[J]. Journal of Terahertz Science and Electronic Information Technology ,2013,11(4):619~623

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History
  • Received:November 21,2012
  • Revised:January 15,2013
  • Adopted:
  • Online: August 29,2013
  • Published: