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 …

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 …

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 …

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 …

Compressive frequency hopping signal detection using spectral kurtosis and residual signals

C Hu, JY Kim, SY Na, HG Kim, SH Choi - Wireless Personal …, 2017 - Springer
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 …

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 …

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 …

Robust frequency-hopping spectrum estimation based on sparse Bayesian method

L Zhao, L Wang, G Bi, L Zhang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper considers the problem of estimating multiple frequency hopping signals with
unknown hopping pattern. By segmenting the received signals into overlapped …

Time-frequency analysis of frequency hopping signal based on partial reconstruction

Y Zhang, X Jia, C Yin - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
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 …

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 …