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Published in: Designs, Codes and Cryptography 1/2017

17-05-2016

Three new classes of optimal frequency-hopping sequence sets

Authors: Bocong Chen, Liren Lin, San Ling, Hongwei Liu

Published in: Designs, Codes and Cryptography | Issue 1/2017

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Abstract

The study of frequency-hopping sequences (FHSs) has been focused on the establishment of theoretical bounds for the parameters of FHSs as well as on the construction of optimal FHSs with respect to the bounds. Peng and Fan (IEEE Trans Inf Theory 50(9):2149–2154, 2004) derived two lower bounds on the maximum nontrivial Hamming correlation of an FHS set, which is an important indicator in measuring the performance of an FHS set employed in practice. In this paper, we obtain two main results. We study the construction of new optimal frequency-hopping sequence sets by using cyclic codes over finite fields. Let \(\mathcal {C}\) be a cyclic code of length n over a finite field \(\mathbb {F}_q\) such that \(\mathcal {C}\) contains the one-dimensional subcode \( \mathcal {C}_0=\{(\alpha ,\alpha ,\ldots ,\alpha )\in \mathbb {F}_q^n\,|\,\alpha \in \mathbb {F}_q\}. \) Two codewords of \(\mathcal {C}\) are said to be equivalent if one can be obtained from the other through applying the cyclic shift a certain number of times. We present a necessary and sufficient condition under which the equivalence class of any codeword in \(\mathcal {C}\setminus \mathcal {C}_0\) has size n. This result addresses an open question raised by Ding et al. (IEEE Trans Inf Theory 55(7):3297–3304, 2009). As a consequence, three new classes of optimal FHS sets with respect to the Singleton bound are obtained, some of which are also optimal with respect to the Peng–Fan bound at the same time. We also show that the two Peng–Fan bounds are, in fact, identical.
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Metadata
Title
Three new classes of optimal frequency-hopping sequence sets
Authors
Bocong Chen
Liren Lin
San Ling
Hongwei Liu
Publication date
17-05-2016
Publisher
Springer US
Published in
Designs, Codes and Cryptography / Issue 1/2017
Print ISSN: 0925-1022
Electronic ISSN: 1573-7586
DOI
https://doi.org/10.1007/s10623-016-0220-9

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