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, we propose an information-theoretic compressive measurement scheme for
the frequency hopping pattern recognition of frequency-hopping spread spectrum (FHSS) …

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 …

This paper addresses the problem of estimating frequency hopping (FH) signals parameters
with the single array. The existing optimization algorithms are with unrealistic computational …

Frequency hopping (FH) signals have well-documented merits for commercial and military
applications due to their near-far resistance and robustness to jamming. Estimating FH …

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

In this paper, we address the problem of multiple frequency-hopping (FH) signal parameters
estimation in the presence of random missing observations. A space-time matrix with …

In differential frequency hopping (FH) wireless systems, data are expressed by frequency
hopping pattern, and frequency detection involving the Fourier transform and widebands …

The frequency-hopping spread spectrum (FHSS) signals can be sparsely represented in
frequency domain at any given time. In this letter, we render a dictionary and propose non …

In the case of parameter estimation of Frequency Hopping (FH) signal based on
conventional time-frequency analysis, the suppression of cross-terms in Time-Frequency …