Parameter estimation of multiple frequency‐hopping signals based on Bayesian compressive sensing and atomic norm soft thresholding with missing observations

H Wang, B Zhang, H Wang, B Wu… - IET Communications, 2022 - Wiley Online Library
In this study, the problem of estimating multiple frequency‐hopping (FH) signal parameters
in situations in which random observations are missing is addressed. A uniform linear array …

Hopping time estimation of frequency-hopping signals based on HMM-enhanced Bayesian compressive sensing with missing observations

H Wang, B Zhang, H Wang, B Wu… - IEEE Communications …, 2022 - ieeexplore.ieee.org
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 …

Structure-aware Bayesian compressive sensing for frequency-hopping spectrum estimation with missing observations

S Liu, YD Zhang, T Shan, R Tao - IEEE Transactions on Signal …, 2018 - ieeexplore.ieee.org
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 …

Parameter estimation of multiple frequency-hopping signals based on space-time-frequency analysis by atomic norm soft thresholding with missing observations

H Wang, B Zhang, H Wang, B Wu… - China …, 2022 - ieeexplore.ieee.org
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 …

A parameter estimation algorithm for multiple frequency-hopping signals based on compressed sensing

W Fu, T Jiang - Physical Communication, 2019 - Elsevier
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 …

[HTML][HTML] A Fast Estimation Algorithm for Parameters of Multiple Frequency-Hopping Signals Based on Compressed Spectrum Sensing and Maximum Likelihood

Y Li, F Wang, G Fan, Y Liu, Y Zhang - Electronics, 2023 - mdpi.com
The parameter estimation of multiple frequency-hopping (multiple FH) signals with
frequency-switching time is a great challenge under conditions in which the number of …

[HTML][HTML] Parameter Estimation Algorithm of Frequency-Hopping Signal in Compressed Domain Based on Improved Atomic Dictionary

W Zhu, Y Wang, H Jin, Y Lei - Sensors, 2023 - mdpi.com
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 …

Structure-aware Bayesian compressive sensing for frequency-hopping spectrum estimation

S Liu, YD Zhang, T Shan, S Qin… - Compressive Sensing V …, 2016 - spiedigitallibrary.org
Frequency-hopping (FH) is one of the commonly used spread spectrum techniques that
finds wide applications in communications and radar systems due to its capability of low …

Blind compressed sensing parameter estimation of non-cooperative frequency hopping signal

C Ying, Z Fei, G Shuxu - 雷达学报, 2016 - radars.ac.cn
To overcome the disadvantages of a non-cooperative frequency hopping communication
system, such as a high sampling rate and inadequate prior information, parameter …

Frequency-hopping signal parameters estimation based on orthogonal matching pursuit and sparse linear regression

Y Wang, C Zhang, F Jing - IEEE Access, 2018 - ieeexplore.ieee.org
This paper addresses the problem of estimating frequency hopping (FH) signals parameters
with the single array. The existing optimization algorithms are with unrealistic computational …