Blind Estimation of Wide-band Frequency-Hopping Signal Based On Compressed Numeral Characteristics

DOI

10.2991/nceece-15.2016.181How to use a DOI?

Keywords

compressed sensing; Frequency-Hopping signal; parameter estimation; compressed numeral characteristics.

Abstract

In order to make a precise and quick estimation of the wide-band Frequency-Hopping(FH) signal, a blind parameter estimation using numeral characteristics of compressive samplings is proposed. First study the compressed numeral characteristics (CNC) of the signal on the premise of non-reconstructing the original signal to detect the changes of signal frequency. Then reconstruct these data sections to get its frequency domain coefficients. Estimations could be achieved with hopping frequency, frequency-hopping periods and the frequency-hopping moments based on the frequency domain coefficients. Simulation results show that this algorithm can achieve the same error conditions as Wigner algorithm with Gaussian white noise when SNR is 10dB and compress rate is 1/4. And the number of sampling points of processing required for a quarter of the Wigner algorithm. So this algorithm has the advantages of low computing complexity and better real-time performance compared with then traditional algorithm using time-frequency characteristics.

Copyright

© 2016, 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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TY  - CONF
AU  - Xun Lu
AU  - Lichun Li
AU  - Zhong Liu
PY  - 2015/12
DA  - 2015/12
TI  - Blind Estimation of Wide-band Frequency-Hopping Signal Based On Compressed Numeral Characteristics
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1010
EP  - 1016
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.181
DO  - 10.2991/nceece-15.2016.181
ID  - Lu2015/12
ER  -