SS Code Acquisition Scheme Based on Signed-Rank Statistic in Non-Gaussian Impulsive Noise Environments 


Vol. 33,  No. 2, pp. 200-207, Feb.  2008


PDF
  Abstract

In this paper, a new detector is proposed for code acquisition, which employs the signs and ranks of the received signal samples, instead of their actual values, and so does not require knowledge of the non-Gaussian noise dispersion. The mean acquisition performance of the proposed detector is compared with that of the detector of [1]. The simulation results show that the proposed scheme is not only robust to deviations from the true value of the non-Gaussian noise dispersion, but also has comparable performance to that of the scheme of[1] using exact knowledge of the non-Gaussian noise dispersion.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

S. Kim, S. Ahn, Y. Lee, S. Yoo, S. Yoon, "SS Code Acquisition Scheme Based on Signed-Rank Statistic in Non-Gaussian Impulsive Noise Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 2, pp. 200-207, 2008. DOI: .

[ACM Style]

Sanghun Kim, Sangho Ahn, Youngyoon Lee, Seungsoo Yoo, and Seokho Yoon. 2008. SS Code Acquisition Scheme Based on Signed-Rank Statistic in Non-Gaussian Impulsive Noise Environments. The Journal of Korean Institute of Communications and Information Sciences, 33, 2, (2008), 200-207. DOI: .

[KICS Style]

Sanghun Kim, Sangho Ahn, Youngyoon Lee, Seungsoo Yoo, Seokho Yoon, "SS Code Acquisition Scheme Based on Signed-Rank Statistic in Non-Gaussian Impulsive Noise Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 2, pp. 200-207, 2. 2008.