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 …

With good sparsity of Frequency Hopping (FH) signals on the local Fourier basis based on
compressive sensing (CS) theory, this paper proposes a novel adaptive synchronous …

Frequency hopping communication is a common communication method in the field of
modern wireless communication countermeasures. Due to the progress of the signal …

This paper considers the problem of estimating the parameters of a frequency-hopping
signal under non-cooperative conditions. To make the estimation of different parameters …

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

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

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 …

Parameters estimation is a crucial and challenging component for Frequency-Hopping (FH)
communication. Time-frequency analysis is a valid signal processing tool to estimate …

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