πŸ“ž +91-7667918914 | βœ‰οΈ ijarcce@gmail.com
International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 2, ISSUE 12, DECEMBER 2013

Performance Evaluation of Legendre and Rudin-Shapiro Sequences using PSLR

B.SURIBABU NAICK, DR. P.RAJESH KUMAR Assistant Professor, Dept of ECE, GITAM University, Visakhapatnam, India Associate Professor, Dept of ECE, Andhra University, Visakhapatnam, India

πŸ‘ 38 viewsπŸ“₯ 1 download
Share: 𝕏 f in ✈ βœ‰
Abstract: In this paper, two sequences i.e., Legendre and Rudin-Shapiro are compared based on the peak side lobe ratio of an auto-correlation function. The former is applicable only for prime numbers and the latter is applicable for length sequences. The peak side lobe ratio gives an alternative to the merit factor for measuring the collective smallness of the binary sequences. A low peak side lobe ratio is the factor for good resolution and peak side lobe ratio of larger sequences can be applied in different Radar applications .The results are compare and simulated using Matlab.

Keywords: Aperiodic autocorrelation, peak side lobe level, binary sequence, merit factor, Legendre sequence, maximal length shift register sequence, Rudin-Shapiro sequence.

How to Cite:

[1] B.SURIBABU NAICK, DR. P.RAJESH KUMAR Assistant Professor, Dept of ECE, GITAM University, Visakhapatnam, India Associate Professor, Dept of ECE, Andhra University, Visakhapatnam, India, β€œPerformance Evaluation of Legendre and Rudin-Shapiro Sequences using PSLR,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.