A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
MFSK Signal Individual Identification Algorithm Based on Bi-spectrum and Wavelet Analyses
2016
KSII Transactions on Internet and Information Systems
Signal individual reconnaissance and identification is an extremely important research topic in non-cooperative domains such as electronic countermeasures and intelligence reconnaissance. Facing the characteristics of the complexity and changeability of current communication environment, how to realize radiation source signal individual identification under the low SNR conditions is an emphasis of research. A novel emitter individual identification method combined bi-spectrum analysis with
doi:10.3837/tiis.2016.10.010
fatcat:fleqjqzsvfhqji6ig6l4gfp3be