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 …

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 …

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 …

Parameter estimation algorithm for frequency-hopping signal in compressed domain based on sliding window and atomic dictionary

W FU, Y ZHANG, J WEI, N LIU - 电子与信息学报, 2017 - jeit.ac.cn
Most existing parameter estimation algorithms for Frequency Hopping (FH) signal do not
consider the structural characteristics of FH signals, and have the disadvantages of high …

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 …

Adaptive measurement and decoding of frequency-hopping spread spectrum signals based on knowledge enhanced compressed sensing

F Liu, G Sun, S Zhang - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
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 …

Parameter estimation of frequency-hopping signals based on sparse time-frequency distribution

Y JIN, L ZHOU, H JI - 电子与信息学报, 2018 - jeit.ac.cn
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 …

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 …

Compressive frequency estimation for frequency hopping signal

B Li, Y Li, Y Zhu - 2013 IEEE International Conference of IEEE …, 2013 - ieeexplore.ieee.org
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 …