Adaptive detection of an unknown FH signal based on image features

Authors:
Sheng-en Luo;Lai-yuan Luo
Affiliations:
Southwest Electronics and Telecommunication Technology Research Institute, Chengdu, China;Southwest Electronics and Telecommunication Technology Research Institute, Chengdu, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 2
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Digital Image Processing

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A New Time-Frequency Spectrogram Analysis of FH Signals by Image Enhancement and Mathematical Morphology

ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics

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Abstract

We introduce an adaptive detection structure for unknown frequency hopping (FH) signal. After getting the short time Fourier transform (STFT) of received signal, we process the time-frequency spectrogram in terms of image operations, and extract multiple image features. Two kinds of method are employed for combinative detection. We firstly establish the FH signal verification and joint parameters estimation (FHSV-JPE) model based on these image features, and estimate some FH parameters while resolving the model. The FH detection threshold used in the model can be adjusted adaptively according to complicated time varying environments. Then we propose a time frequency (TF) matching method to further detect the jammed hops and estimate other FH parameters. Simulation results demonstrate that this detection algorithm is feasible and efficient.