Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (1): 17-22.doi: 10.3969/j.issn.1001-506X.2018.01.03

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PN sequence period estimation method based on correntropy

JIN Yan, SUN Jiuling, JI Hongbing#br#

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  1. School of Electronic Engineering, Xidian University, Xi’an 710071, China
  • Online:2018-01-08 Published:2018-01-08

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Abstract:

The estimation of the pseudo-noise (PN) sequence period of a direct sequence spread spectrum (DS/SS) signal is addressed in this paper. According to the fact that correntropy is a local similarity measure of a random variable, two novel methods are proposed. The implicit periodicity of the correntropy is analyzed, and a series of formulas are derived to prove the periodicity. On the basis of that, the period of PN sequence can be estimated from the peak interval of the correntropy. Moreover, an improved delay-multiplied correntropy algorithm is proposed in view of the influence that the information code has on the PN sequence. Simulation results show that, compared with the cepstrum method, the spectrum reprocessing method based on power spectrum, and the fluctuation correlation method based on autocorrelation, the estimation performance of the proposed methods based on the correntropy is much better.

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