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Signal detection and RF parameter estimation have received great interest in recent years due to the need for spectrum sensing in rapidly growing cognitive radio and cyber security research. In most conventional signal detection and RF parameter estimation work, the target signal is often assumed to be a single primary user signal without overlap in spectrum with other signals. However, in a spectrally...
In this paper, we propose a new method for blind modulation detection based on detailed second order cyclostationary features for underwater acoustic communication. Due to the severe and fast varying Doppler shift and phase noise in the underwater acoustic communication channel, much shorter signal length can be used to detection the modulation scheme, leading to less accuracy in the modulation detection...
Modulation detection is important to many military communication and electronic warfare applications. Cyclostationary analysis has been proven to be an effective means to detect and identify modulation types of RF signals. It is highly desired to apply cyclostationary analysis to underwater acoustic communication signals to conduct modulation detection. However, due to the complex environment encountered...
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