DocumentCode :
3571950
Title :
DSP implementation of Weil and Sidel´nikov Binary Pseudo Random Noise codes
Author :
Ajay, Dundi ; Sudha, K.L. ; Rajagopal, A.
Author_Institution :
Dept. of E&C, DayanandaSagar Coll. of Eng., Bangalore, India
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Weil and Sidel´nikov binary sequences belong to the category of Pseudo Random Noise (PRN) codes which are a binary coded sequence with certain auto and cross correlation properties. These sequences when used in GPS satellite transmission help in distinguishing different satellites that transmit on the same frequency. The sequences also have the required randomness property to be used in cryptographic applications. The generation method of these sequences holds the key whether they are used for GPS based applications or cryptographic applications. The generation of these codes is quite different from the traditional shift register based PRN codes; hence it is necessary to find the right method to generate these codes to make way for future research. In this paper we describe an efficient method of generating Sidel´nikov sequences and Legendre sequence which in turn is used to construct Weil sequences. One of these sequences is then used to encrypt and decrypt an audio signal using the TMS320DM6437 DSP processor.
Keywords :
Global Positioning System; audio signals; binary codes; binary sequences; cryptography; digital signal processing chips; DSP implementation; GPS satellite transmission; Legendre sequence; Sidel´nikov binary pseudorandom noise codes; Sidel´nikov sequences; TMS320DM6437 DSP processor; Weil binary pseudorandom noise codes; Weil sequences; audio signal; binary coded sequence; binary sequences; cryptographic applications; shift register; Cryptography; MATLAB; Legendre sequences; Quadratic residues; Sidel´nikov sequences; TMS320DM6437 EVM; Weil sequences; primitive element;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-6084-2
Type :
conf
DOI :
10.1109/ICECCT.2015.7226116
Filename :
7226116
Link To Document :
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