TY - GEN
T1 - Correction of frequency offset of FFT-based frequency hopping detector
AU - Lee, Kyung Gyu
AU - Oh, Seong Jun
N1 - Funding Information:
This work was supported by the research fund of Signal Intelligence Research Center supervised by Defense Acquisition Program Administration and Agency for Defense Development of Korea.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/12
Y1 - 2017/12/12
N2 - Frequency hopping (FH) is widely used in commercial and military communications. The purposes of FH in military communications are anti-jamming and low probability of interception. To implement low probability of detection or interception, FH signals randomly change carrier frequency. There are several kinds of FH detectors for example autocorrelation detector, maximum-likelihood detector and optimum detection. We focused on FFT-based detector kinds of maximum-likelihood detector. The FFT-based detector can monitor several MHz and more. However, the FFT-based detector suffers from frequency offset problem due to a lack of information of targeted FH signals. To improve the drawback, we propose interpolation estimation of frequency offset. The proposed approach mitigates the effect of frequency offset and increases probability of detection. Furthermore, the proposed approach has low complexity and does not require additional hardware. In this paper, we show the linear interpolation estimation of frequency offset and compare it with conventional detector in probability of detection.
AB - Frequency hopping (FH) is widely used in commercial and military communications. The purposes of FH in military communications are anti-jamming and low probability of interception. To implement low probability of detection or interception, FH signals randomly change carrier frequency. There are several kinds of FH detectors for example autocorrelation detector, maximum-likelihood detector and optimum detection. We focused on FFT-based detector kinds of maximum-likelihood detector. The FFT-based detector can monitor several MHz and more. However, the FFT-based detector suffers from frequency offset problem due to a lack of information of targeted FH signals. To improve the drawback, we propose interpolation estimation of frequency offset. The proposed approach mitigates the effect of frequency offset and increases probability of detection. Furthermore, the proposed approach has low complexity and does not require additional hardware. In this paper, we show the linear interpolation estimation of frequency offset and compare it with conventional detector in probability of detection.
UR - http://www.scopus.com/inward/record.url?scp=85046902942&partnerID=8YFLogxK
U2 - 10.1109/ICTC.2017.8190796
DO - 10.1109/ICTC.2017.8190796
M3 - Conference contribution
AN - SCOPUS:85046902942
T3 - International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
SP - 846
EP - 848
BT - International Conference on Information and Communication Technology Convergence
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Information and Communication Technology Convergence, ICTC 2017
Y2 - 18 October 2017 through 20 October 2017
ER -