2003Unpublished venueRequires access

Golay complementary sequences are superior to PN sequences

Srdjan Budisin

Open publisher page 31 citations

Abstract

The properties of individual Golay sequences are considered, and it is shown that they are in many respects equal or superior to pseudonoise (PN) sequences. The following properties of the two sequences are compared: sequence length, number of sequences, autocorrelation properties, spectral properties, and complexity of sequence generators and correlators. The most important advantage of Golay sequences is the existence of the fast Golay correlation algorithm which makes them ideal for applications that require high bit rates and large sequence lengths.>

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What this paper is about

The properties of individual Golay sequences are considered, and it is shown that they are in many respects equal or superior to pseudonoise (PN) sequences. The following properties of the two sequences are compared: sequence length, number of sequences, autocorrelation properties, spectral properties, and complexity of sequence generators and correlators. The most important advantage of Golay sequences is the existence of the fast Golay correlation algorithm which makes them ideal for applications that require high bit rates and large sequence lengths.>

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OpenAlex reports 31 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The properties of individual Golay sequences are considered, and it is shown that they are in many respects equal or superior to pseudonoise (PN) sequences. The following properties of the two sequences are compared: sequence length, number of sequences, autocorrelation properties, spectral properties, and complexity of sequence generators and correlators. The most important advantage of Golay sequences is the existence of the fast Golay correlation algorithm which makes them ideal for applications that require high bit rates and large sequence lengths.>

Key concepts: Binary Golay code, Autocorrelation, Complementary sequences, Sequence (biology), Pseudorandom noise, Mathematics, Ideal (ethics), Algorithm

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