Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Investigation On Space-Time Signal Processing Technology Based On Data Channelization

Authors
Chun Hua Yang, Zhen Lin Tu
Corresponding Author
Chun Hua Yang
Available Online August 2013.
DOI
10.2991/icacsei.2013.24How to use a DOI?
Keywords
Digital Channel, Low Signal-to-Noise Ratio, Spatial Spectrum Estimation, Frequency and DOA Cascade Estimation
Abstract

High accuracy of parameter estimation and real-time processing is difficult in electronic support management signal processing with low SNR(Signal -Noise-Ratio). Traditional algorithms can be only effective for high SNR. In this work, classical spatial spectrum estimation is integrated with data channelization and a frequency and DOA (Direction-of-arrival) cascade estimation method based on data channelization is proposed. The simulations show that the algorithm is effective for SNR of 10 dB and the computing speed is improved.

Copyright
© 2013, 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 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/icacsei.2013.24
ISSN
1951-6851
DOI
10.2991/icacsei.2013.24How to use a DOI?
Copyright
© 2013, 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  - Chun Hua Yang
AU  - Zhen Lin Tu
PY  - 2013/08
DA  - 2013/08
TI  - Investigation On Space-Time Signal Processing Technology Based On Data Channelization
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 97
EP  - 100
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.24
DO  - 10.2991/icacsei.2013.24
ID  - Yang2013/08
ER  -