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Analysis on an Improved Pseudo-Code Periodic Estimation Method for DSSS Signals

Published: 17 July 2017 Publication History

Abstract

The DSSS signals are estimated to be difficult under low SNR conditions. In this paper, an improved DSSS signal pseudo-code period estimation method is proposed. It is based on the in-depth analysis of time domain autocorrelation estimation method. In this method, the DSSS signals are grouped by the averaging method, and then combined with the time domain autocorrelation estimation method. It reduces the influence of noise on the estimated performance and improve the SNR limit. The simulation results show that the effective estimation of the pseudo-code period is realized when the SNR is -15dB. Compared withthe cepstrum, it improves 7dB.

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  1. Analysis on an Improved Pseudo-Code Periodic Estimation Method for DSSS Signals

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      cover image ACM Other conferences
      ICIIP '17: Proceedings of the 2nd International Conference on Intelligent Information Processing
      July 2017
      211 pages
      ISBN:9781450352871
      DOI:10.1145/3144789
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      • Wanfang Data: Wanfang Data, Beijing, China
      • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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      New York, NY, United States

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      Published: 17 July 2017

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      Author Tags

      1. DSSS signals
      2. Pseudo-code period estimation
      3. Time domain autocorrelation method
      4. averaging method

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      ICIIP '17 Paper Acceptance Rate 32 of 202 submissions, 16%;
      Overall Acceptance Rate 87 of 367 submissions, 24%

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