Artículo
Generation and correlation of orthogonal complementary pairs of sequences of lengths 2N10M26P based on an improved multilevel complementary sequences approach
Fecha de publicación:
08/2017
Editorial:
John Wiley & Sons Ltd
Revista:
International Journal Of Circuit Theory And Applications
ISSN:
0098-9886
e-ISSN:
1097-007X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Binary complementary pairs of sequences of lengths 2N10M26P posses some interesting properties for their application in signal detection in noisy channels. Nonetheless, they have not been broadly used because of their greater processing requirements as compared with binary complementary sequences with L = 2N. The present work introduces a new approach for generation and correlation of binary complementary pairs of sequences of length 2N10M26P that reduces the number of required operations. The proposed algorithm allows not only to optimize the number of arithmetic operations but also to correlate two orthogonal complementary pairs simultaneously with the use of a single architecture. Due to the fact that multilevel complementary sequences algorithms are used to generate and correlate binary complementary sequences of length 2N10M26P, the aforementioned algorithms are also improved. The proposal is theoretically proved and its arithmetic efficiency is assessed by comparing the number of operations with that of previously published architectures.
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(CCT - MAR DEL PLATA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - MAR DEL PLATA
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - MAR DEL PLATA
Citación
Hadad, Matías Nicolás; Donato, Patricio Gabriel; Funes, Marcos Alan; Carrica, Daniel Oscar; Generation and correlation of orthogonal complementary pairs of sequences of lengths 2N10M26P based on an improved multilevel complementary sequences approach; John Wiley & Sons Ltd; International Journal Of Circuit Theory And Applications; 45; 8; 8-2017; 1169-1182
Compartir
Altmétricas