Interpolation Algorithm Application of Zadoff-Chu Sequence Using Neural Networks

Jian Cao; Yan Bin Li; Cong Yan

doi:10.4028/www.scientific.net/AMR.989-994.2709

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Interpolation Algorithm Application of Zadoff-Chu...

Interpolation Algorithm Application of Zadoff-Chu Sequence Using Neural Networks

Abstract:

In order to adapt the spectrum property of Zadoff-Chu sequence to the requirement of HF channel sounding transmitter-receiver, the Formula Direct Interpolation Algorithm (FDIA) is put forward by which the amplitude frequency characteristic of Zadoff-Chu sequence can be enhanced. Then the comparison of spectra of the sequences respectively interpolated by FDIA and commonly used interpolation algorithm is conducted, which affirms the superiority of FDIA. Finally, an effective method of achieving best decimation of the sequence interpolated by FDIA is provided. All these lay primary theory foundation for the application of Zadoff-Chu sequence to HF channel sounding.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2709-2712

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2709

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Online since:

July 2014

Authors:

Jian Cao*, Yan Bin Li, Cong Yan

Keywords:

Application, CAZAC, Interpolation, NN

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