KEYWORDS: Modulation, Monte Carlo methods, Wavelet transforms, Detection and tracking algorithms, Computer simulations, Wavelets, Signal to noise ratio, Continuous wavelet transforms, Signal attenuation, Superposition
The research of the technology of modulation identification of digital communication signals is one of the key technologies of receivers in non-cooperative communication systems, and it also has important application value in civil and military fields. In the actual wireless communication environment, the phenomenon of multipath transmission exists all the time. However, most of the existing modulation identification methods are based on the ideal environment, which ignore the influence of multipath interference, and the performance of these algorithms is seriously degraded in multipath fading channels. In order to solve this problem, in this paper we proposed a new algorithm for modulation identification in multipath channels, which based on wavelet transform, higher order cyclic cumulant and high-order cumulant. The simulation results show that the algorithm proposed can effectively eliminate the influence of multipath channel and performs well for the identification of signal modulation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.