Over the last decade, the frequency hopping (FH) detection has attracted a great deal of
interest due to its effectiveness. In general, FH adopts the concept of changing a carrier …

An algorithm using compressive sensing to blindly detect frequency hopping signals
corrupted by white Gaussian noise is presented. The samples obtained through …

Compressive sensing (CS) creates a new framework of signal reconstruction or
approximation from a smaller set of incoherent projection compared with the traditional …

In this paper, compressive detection strategies for FHSS signals are introduced. Rapid
switching of the carrier frequency among many channels using a pseudorandom sequence …

The hopping time reflects the time-varying characteristics of frequency-hopping (FH) signals,
which are essential parameters for the spectrum estimation of FH signals. In this study, we …

The existing frequency hopping (FH) signal analysis methods have the disadvantages of
poor time-frequency resolution and low noise suppression ability. Because of the large …

Compressive sensing (CS) could sample the sparse signal at a rate much lower than
Nyquist-rate and reconstruct it with high probability by optimization technique. This paper …

In this paper, compressive sensing strategies for interception of Frequency-Hopping Spread
Spectrum (FHSS) signals are introduced. Rapid switching of the carrier among many …

Compressive sensing (CS) creates a new framework of signal reconstruction from a smaller
set of incoherent projection compared with the traditional Nyquist-rate sampling theory …

In this paper, a parameter estimation algorithm for wideband multiple FH (multi-FH) signals
based on compressed sensing (CS) is proposed. Our proposed algorithm is aiming at the …