Results 231 to 240 of about 4,468,856 (284)
Some of the next articles are maybe not open access.
Analysis of frequency hopping signal acquisition using frequency estimation
2011 International Conference on Electric Information and Control Engineering, 2011In this paper, we explicitly propose the problem of Frequency Hopping (FH) signal acquisition, and analysis the different algorithm to estimate the frequency of FH signal. We develop a sophisticated algorithm which combines the adaptive Pisarenko's Harmonic Deposition(PHD) and the modified least-square-lattice(LSL) algorithm. So the convergence rate of
Bingli Xu
exaly +2 more sources
Detection of Frequency-Hopping Signals With Deep Learning
IEEE Communications Letters, 2020Detection of the frequency-hopping (FH) signal is challenging when the hopping rate is unknown. Conventional spectrogram-based schemes can detect FH signals, but its performance is limited by the time-frequency resolution trade-off and spectral leakage.
Kyung-Gyu Lee, Seong-Jun Oh
openaire +2 more sources
Mitigation of Frequency-Hopped Tick Jamming Signals
2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2020Global Navigation Satellite System (GNSS) jamming is an evolving technology where new modulations are progressively introduced in order to reduce the impact of interference mitigation techniques such as Adaptive Notch Filters (ANFs). The Standardisation of GNSS Threat reporting and Receiver testing through International Knowledge Exchange ...
Daniele Borio, Ciro Gioia
openaire +2 more sources
Interception of frequency hopped spread spectrum signals
IEEE International Conference on Communications, Including Supercomm Technical Sessions, 1990A frequency-hopped, spread-spectrum signal is modeled as a sinusoid that has one of N random, discrete frequencies. Based on this model, the Neyman-Pearson detection theory is used to derive optimum coherent and noncoherent receiver structures. It is shown that the probability of detection, P/sub D/, approaches, the probability of false alarm, P/sub F/,
Norman C. Beaulieu +2 more
openaire +2 more sources
Compressive frequency estimation for frequency hopping signal
2013 IEEE International Conference of IEEE Region 10 (TENCON 2013), 2013Compressive 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 introduced a frequency estimation method of frequency hopping (FH) signal based on CS theory, because of the sparsity of FH signals on the local Fourier basis, frequencies of FH ...
Binwu Li, Yonggui Li, Yonggang Zhu
openaire +1 more source
Optimum detection of slow frequency-hopped signals
IEEE Transactions on Communications, 1994Optimum detectors have previously been derived for fast frequency-hopped (FFH) signals with M-ary frequency-shift-keyed (MFSK) data modulation received in additive white Gaussian noise (FFH here implies that a single MFSK tone is transmitted per hop), The present paper extends that work to the more analytically complex category of slow frequency-hopped
Barry K. Levitt +3 more
openaire +2 more sources
Adaptive multichannel detection of frequency-hopping signals
IEEE Transactions on Communications, 1992An adaptive multichannel radiometer designed to detect frequency-hopping (FH) signals in complex signal environments is presented. Each channel updates its hop threshold to reflect the current environment and excise any persistent hop activity inconsistent with an FH signal from subsequent processing.
Larry William Nemsick +1 more
openaire +3 more sources
Variable-Speed Frequency-Hopping Signal Sorting: Spectrogram Is Sufficient
Electronics (Switzerland), 2023 In this paper, we present a novel signal sorting method aimed at reducing the impact of interference and noise while achieving blind detection and accurate sorting of a variable-speed frequency-hopping communication system.
Hu Jin +5 more
exaly +2 more sources
A New Algorithm of Frequency Estimation for Frequency-Hopping Signal
2013The performance of ESPRIT (Estimated Signal Parameters via Rotational Invariance Technique) algorithm about frequency estimation is obviously declined, when the SNR of signal is relatively low. Aiming at this problem, an improved ESPRIT algorithm is presented.
Jun Lv, Weitao Sun, Tong Li 0002
openaire +2 more sources
ML-based frequency estimation and synchronization of frequency hopping signals
IEEE Transactions on Signal Processing, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ko, C.C., Zhi, W., Chin, F.
openaire +2 more sources