Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Research and Realization of An Improved Auto-Correlation Method for Frequency Measuring

Authors
Wang Liu, Haiqi Zhang, Minghao Zhong
Corresponding Author
Wang Liu
Available Online October 2016.
DOI
10.2991/ceie-16.2017.48How to use a DOI?
Keywords
Frequency Measurement; Synthesizers; Auto-Correlation; FPGA
Abstract

Frequency measuring is an important part of modern radar systems. Based on the traditional principle of auto-correlation algorithm, we put forward an improved method of frequency measurement, simulating and analyzing the implementation process with MATLAB, finally testing on FPGA platforms. The results show the correctness and feasibility of the method, highlighting the theoretical and practical guiding significance to the design of a fast frequency measurement system for digital receivers.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
10.2991/ceie-16.2017.48
ISSN
2352-5401
DOI
10.2991/ceie-16.2017.48How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wang Liu
AU  - Haiqi Zhang
AU  - Minghao Zhong
PY  - 2016/10
DA  - 2016/10
TI  - Research and Realization of An Improved Auto-Correlation Method for Frequency Measuring
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 382
EP  - 391
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.48
DO  - 10.2991/ceie-16.2017.48
ID  - Liu2016/10
ER  -