In this paper, we address the problem of spectrum estimation of multiple frequency-hopping
(FH) signals in the presence of random missing observations. The signals are analyzed …

This paper considers the problem of estimating multiple frequency hopping signals with
unknown hopping pattern. By segmenting the received signals into overlapped …

Wideband spectrum sensing (WSS) encompasses a collection of techniques intended to
estimate or to decide over the occupancy parameters of a wide frequency band. However …

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, we propose a Bayesian compressive sensing algorithm for effective
reconstruction of sparse signals that demonstrate sparsity as continuous but irregular narrow …

In this paper, methods for detection of frequency-hopping spread spectrum (FHSS) signals
from compressive measurements are proposed. Rapid switching of the carrier frequency in a …

In this paper, we present a novel hybrid framework combining compressive spectrum
sensing with geo-location database to find spectrum holes in a decentralized cognitive …

For cognitive radio networks, efficient and robust spectrum sensing is a crucial enabling step
for dynamic spectrum access. Cognitive radios need to not only rapidly identify spectrum …

There are several advantages of compressive sensing (CS) technologies for spectrum
sensing in wideband cognitive radios (CRs), especially in reducing the sampling rate …

This paper proposes two novel schemes of wideband compressive spectrum sensing (CSS)
via block orthogonal matching pursuit (BOMP) algorithm, for achieving high sensing …