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 …

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 …

Estimating multiple frequency-hopping signal parameters via sparse linear regression

D Angelosante, GB Giannakis… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
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 …

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 …

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 …

Joint signal parameter estimation of frequency-hopping communications

TC Chen - IET communications, 2012 - IET
In the problem of the parameter estimation of frequency-hopping (FH) signals, most of
existing works can only provide the unauthorised detection of the FH signals or estimate the …

Joint CFO and channel estimation in OFDM systems using sparse Bayesian learning

S Salari, F Chan - IEEE communications letters, 2020 - ieeexplore.ieee.org
In this article, we study the problem of joint carrier frequency offset (CFO) and sparse
channel estimation in orthogonal frequency-division multiplexing (OFDM) communication …

Bayesian learning aided sparse channel estimation for orthogonal time frequency space modulated systems

S Srivastava, RK Singh… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
A novel sparse channel state information (CSI) estimation scheme is proposed for
orthogonal time frequency space (OTFS) modulated systems, in which the pilots are directly …

Sparse parametric models for robust nonstationary signal analysis: Leveraging the power of sparse regression

D Angelosante, GB Giannakis… - IEEE Signal …, 2013 - ieeexplore.ieee.org
Recent research and experimental findings, as well as technological development and
commercialization efforts, suggest that even a modest amount of data can deliver superior …

Robust multi-frame joint frequency hopping radar waveform parameters estimation under low signal-noise-ratio

S Wei, M Zhang, G Wang, X Sun, L Zhang… - IEEE Access, 2019 - ieeexplore.ieee.org
Robust estimation of frequency hopping radar signal parameters is the key to achieving
stable jam in frequency hopping communication. In order to deal with the poor noise …