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This paper presents a novel method for joint frequency and angle estimation of incoming signals. Two-layers compressed sensing method is used to obtain direction wave number and frequency parameters respectively. The algorithm provides high resolution and accuracy in both frequency and direction of arrival (DOA) estimation over the frequency range under the condition of small signal to noise ratio...
Based on ESPRIT algorithm and integer search method, a two — dimensional DOA estimation algorithm is proposed for the LFM signal under sub-Nyquist sampling. A non-uniform L-type antenna array model is established, ESPRIT algorithm and integer search method are used to get the original signal azimuth and pitch angle information accurately. This algorithm can reduce the computational complexity effectively...
The paper considers periodogram maximization-based frequency estimation of a single complex sinusoid. We propose to improve the accuracy of recently proposed methods based on three discrete Fourier transform (DFT) samples around the DFT maximum. For that purpose, a three-point parabolic interpolation of the periodogram peak is used. The proposed method requires the calculation of only two additional...
We propose a non-pilot aided sampling frequency offset (SFO) estimation algorithm in Multi-IFoF fronthaul with estimation error below 12ppb under SFO range from −100ppm to 100ppm and high robustness at received optical power as low as − 27dBm.
In this paper, a new synthetic frequency estimator of sinusoid signal based on discrete Fourier transform (DFT) amplitudes is proposed. Compared with the existing methods, the proposed method has the advantages of low computational complexity and high precision. The method has two main stages. Firstly, N-point sampled data in the time domain DFT is performed and the coarse estimation is completed...
In this paper, we present a method for fusing different frequency synthetic aperture radar (SAR) images for improving the accuracy of land subsidence estimation using differential interferometric SAR (DInSAR) technique. Our study area, Kansai International Airport, Osaka, Japan, consists of two landfilled islands, and the subsidence velocity of an island is much larger than that of the other one....
The Doppler centroid is a crucial parameter for the purpose of implementing azimuth processing for synthetic aperture radar (SAR) data. In this paper, we propose a scheme for estimating the Doppler centroid of conventional SAR. Virtual multi-channel SAR data can be generated by sub-sampling the original SAR data in azimuth. Consequently, each channel data is aliased and the spectrum components within...
Normalized Difference Vegetation Index (NDVI) time series is used to study different land cover dynamics such as change, compare vegetation dynamics between years and analyze intra-annual components. A nonlinear cosine model of the NDVI time series with a constant frequency is used to account for the time-varying nature of the land cover parameters due to seasonality or change. The Extended Kalman...
Total-variation (TV) regularization is widely adopted in image restoration problems to exploit the local smoothness of image. However, traditional TV regularization only models the sparsity of image gradient at the original scale. This paper introduces a multi-scale TV regularization method which models the image gradient sparsity at different scales, and constrains the gradient magnitude of different...
Predictive analytics and data fusion techniques are being regularly used for analysis in Quantitative Risk Management (QRM). The primary risk metric of interest, Value-at-Risk (VaR), has always been difficult to robustly estimate for different data types. The classical Monte Carlo simulation (MCS) approach (denoted henceforth as classical approach) assumes the independence of loss severity and loss...
Acoustic frequency tracking of a harmonic signal with continuously varying frequency is considered. The Rao-Blackwellized point mass filter (RBPMF), previously proposed by the authors for mechanical vibration tracking, is applied to the problem. The RBPMF is compared with two periodogram-based methods, and the similarities and differences between them are explained. Both experimental and simulation...
the use of digital multifunction protection relays and their proper integration on power system and smart grid is an important element. However, the performance of digital relays depends on many factors and needs to be carefully evaluated. These factors may be caused correct operations with less performance or completely incorrect operations. Frequency deviation is one of those factors which results...
The dawn of 5G requires significantly higher data rates, not only for the Radio Access Technology (RAT), but also for the transport network. Line-of-Sight MIMO links based on mmWave radios promise reaching ultra-high throughput with reasonably small antennas. mmWave links with optimally arranged antennas are one viable concept for spatial multiplexing, capable of potentially achieving Gb/s data rates...
This paper proposes an algorithm for estimate the damping ratio of power system oscillation in real time. In this paper, we utilize the Four-Max-Min-Points (FMMP) method to estimate the instantaneous damping ratio of the signals. The proposed method is simple and fast. It can be used for wide-area monitoring and control of power system oscillation from online PMU measurement. The algorithms are tested...
This article shown an FPGA implementation on estimation of fundamental frequency of three-phase power system based on widely linear ACLMS algorithm. The frequency estimator using FPGA is proposed with a view applications in active microgrids. The main goal oh this article is to depict some practical issues that must be taken care during the algorithm implementations for reach this aim, as like: numerical...
This study is summary of research results of existing voice information security estimation approach analysis and modification, especially by change of immediate appreciation test conditions, along with considering speech forcing effect, adjustment of frequency range width and the method of its division, analysis of amplitude speech constitution and qualification of test signal level. Another point...
Linear frequency modulated continuous wave (LFMCW) signal has been widely used in the new system radar as the progress of radar technology. It is difficult to estimate the parameters of the LFMCW signal under noncooperative circumstances. In this paper, we introduce the time frequency analysis methods to signal representation and parameter estimation. The S-Method with adaptive window is proposed...
The Interpolated Discrete Fourier Transform (IpDFT) represents the current state-of-the-art about DFT-based synchrophasor estimation (SE) algorithms for P-class Phasor Measurement Units (PMUs). However, the IpDFT is not robust against the interference produced by interharomonics (i.e., components characterized by frequencies that are not integer multiples of the fundamental one) and, therefore, it...
This paper presents the results of testing a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. By extending the author's previous work in [1], this paper shows that a decentralized architecture is effective in detecting local modes which are less observable in presence of other dominant modes when estimated...
Photoplethysmographic signals are synthesized using a Fourier representation with a fundamental and 2 harmonic components, and an accurate method for parameter estimation using this synthesis model is discussed. The estimated parameters enable to determine physiologically meaningful features related to arterial stiffness, heart rate variability, blood pressure variations, etc. The method allows signal...
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