CRMay 12, 2015

Binary GH Sequences for Multiparty Communication

arXiv:1505.03062v11 citations
Originality Synthesis-oriented
AI Analysis

This work addresses sequence design for multiparty communication, with potential applications in cryptography, but appears incremental as it builds on existing GH sequence theory.

The paper tackles the problem of high cross correlation in communication sequences by constructing binary random sequences from GH sequences modulo prime numbers, showing they have significantly lower peak cross correlation compared to pseudo noise sequence fragments.

This paper investigates cross correlation properties of sequences derived from GH sequences modulo p, where p is a prime number and presents comparison with cross correlation properties of pseudo noise sequences. For GH sequences modulo prime, a binary random sequence B(n) is constructed, based on whether the period is p-1 (or a divisor) or 2p+2 (or a divisor). We show that B(n) sequences have much less peak cross correlation compared to PN sequence fragments obtained from the same generator. Potential applications of these sequences to cryptography are sketched.

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