Performance Comparison of Blind Estimation Algorithms for Spreading Sequence in DSSS Signals 


Vol. 45,  No. 3, pp. 593-601, Mar.  2020
10.7840/kics.2020.45.3.593


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  Abstract

When it comes to many other non-cooperative scenes, for example in the reconnaissance application, the receiver extremely difficult to detect the DSSS signals having LPD/I(Low Probability of Detection / Interception) characteristics. In this non-cooperative context, it needs to estimate blindly the all parameters such as symbol rate, chip rate, classification of DSSS signals, and spreading sequence to demodulate and to identify for the unknown signals. Especially, the estimation of spreading sequence among these parameters is very important for demodulation. In many estimation methods, we choose eigen analysis method and multi-layer perceptron method for estimating spreading sequence, and compare and review the performance using numerical simulation changing SNR, the length of spreading sequence, and the number of symbols.

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  Cite this article

[IEEE Style]

C. Park, C. Lee, U. Jeong, "Performance Comparison of Blind Estimation Algorithms for Spreading Sequence in DSSS Signals," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 3, pp. 593-601, 2020. DOI: 10.7840/kics.2020.45.3.593.

[ACM Style]

Cheolsun Park, Chiho Lee, and Unseop Jeong. 2020. Performance Comparison of Blind Estimation Algorithms for Spreading Sequence in DSSS Signals. The Journal of Korean Institute of Communications and Information Sciences, 45, 3, (2020), 593-601. DOI: 10.7840/kics.2020.45.3.593.

[KICS Style]

Cheolsun Park, Chiho Lee, Unseop Jeong, "Performance Comparison of Blind Estimation Algorithms for Spreading Sequence in DSSS Signals," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 3, pp. 593-601, 3. 2020. (https://doi.org/10.7840/kics.2020.45.3.593)

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pISSN : 1226 - 4717
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