Robust algorithm of multi-signals separation for wideband spectrum sensing of cognitive radios

An analysis for wideband spectrum sensing of many primary users active in cognitive radios has been presented. The spectrum holes occur while all the signals in wide band are detected and separated. This paper focuses on the multi-signals separation problem while the signal number is uncertain and the noise floor spectrum is non-flat. The wideband spectrum is recursively divided into smaller scale spectrums until all the signals in wide band is detected and separated. A FSM is built with six states from the energy characteristic of signal spectrum sharp to detect and separate a single signal, and detection processing is transitions of the state. The signal can be detected and separated by FSM. At last, the simulations and experiments validate the study.