Jun 1, 2020 · After the signal is sampled by the MWC, the MSBL algorithm is used to reconstruct its support set. Then the time–frequency ridge method is used ...
After the signal is sampled by the MWC, the MSBL algorithm is used to reconstruct its support set. Then the time–frequency ridge method is used to estimate the ...
Abstract. To resolve the problems of high hardware implementation cost and low reconstruction accuracy of existing traditional greedy algorithms.
Parameter estimation of frequency hopping signal based on MWC–MSBL reconstruction. Aiming at the problem that single‐network hopping signals have not fully ...
This paper considers the problem of estimating the parameters of a frequency-hopping signal under non-cooperative conditions. To make the estimation of ...
The SSD deep neural network detection framework is presented, and used to detect FH signal and estimate its parameters, and the time-frequency graph ...
May 4, 2023 · A method of estimating linear frequency modulation (LFM) signal parameters using compressed sampling (CS) data of a Modulated Wideband ...
Parameter estimation of frequency hopping signal based on MWC–MSBL reconstruction. Aiming at the problem that single‐network hopping signals have not fully ...
A joint recursive signal power and hop-rate estimator is proposed and analyzed, based on maximum likelihood arguments, and the conditional mean and variance ...
A method of estimating linear frequency modulation (LFM) signal parameters using compressed sampling (CS) data of a Modulated Wideband Converter (MWC) ...