Computational Search of Long Skew-symmetric Binary Sequences with High Merit Factors

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Brest, Janez
Bošković, Borko

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Mark

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Institute of Automation and Computer Science, Brno University of Technology

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Abstract

In this paper, we present a computational search for best-known merit factors of longer binary sequences with an odd length. Finding low autocorrelation binary sequences with optimal or suboptimal merit factors is a very difficult optimization problem. An improved version of the heuristic algorithm is presented and tackled to search for aperiodic binary sequences with good autocorrelation properties. High-performance computations with the execution of our stochastic algorithmto search skew-symmetric binary sequences with high merit factors. After experimental work, as results, we present new binary sequences with odd lengths between 201 and 303 that are skew-symmetric and have the merit factor F greater than 8.5. Moreover, an example of a binary sequence having F > 8 has been found for all odd lengths between 201 and 303. The longest binary sequence with F > 9 found to date is of length 255.

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Mendel. 2022 vol. 28, č. 2, s. 17-24. ISSN 1803-3814
https://mendel-journal.org/index.php/mendel/article/view/189

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Peer-reviewed

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en

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Except where otherwised noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license
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