In order to estimate the parameters of multi Frequency-Hopping (FH) signals in the condition
of non-cooperation and overcome the bottleneck of huge data processing, a parameter …

Binary phase shift keying (BPSK) signal is very important in modern digital communication,
and its parameter estimation is of great significance to demodulation. It is well known that …

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

The key to jam frequency-hopping communication is to estimate its parameters efficiently
and precisely. An algorithm for estimating the hop rate of high-speed frequency hopping …

Parameter estimation and network sorting for noncooperative wideband frequency‐hopping
(FH) signals have been essential and challenging tasks, especially in the case with little or …

In this paper, a dynamic sampling rate adjustment scheme is proposed for compressive
spectrum sensing in cognitive radio network. Nowadays, compressive sensing (CS) has …

The key to jam frequency-hopping communication is to estimate its parameters efficiently
and precisely. An algorithm for estimating the parameters of frequency hopping (FH) signals …

Aiming at the low accuracy of frequency hopping signal parameter estimation under the
influence of complex noise and interference, a frequency-hopping signal parameter …

Improving the performance of spectrum sensing in cognitive radio (CR) systems by
exploiting sparse property via compressed sensing has been attracting a lot of research …