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The problem of carrier frequency and phase synchronization exists in most wireless digital communication systems. These offsets are generally results from the Doppler effect, oscillator instabilities, and unknown transmission delays between receiver and transmitter. In this paper, we propose a joint synchronization algorithm applicable for short-burst PSK modulation systems. In the coarse estimation,...
Neural data analysis has increasingly incorporated causal information to study circuit connectivity. Dimensional reduction forms the basis of most analyses of large multivariate time series. Here, we present a new, multitaper-based decomposition for stochastic, multivariate time series that acts on the covariance of the time series at all lags, C (τ), as opposed to standard methods that decompose...
There has been growing interest in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems, which would likely employ hybrid analog-digital precoding with large-scale analog arrays deployed at wide bandwidths. Primary challenges here are how to efficiently estimate the large-dimensional frequency-selective channels and customize the wideband hybrid analog-digital precoders and combiners...
This paper proposes a fast covariance matrix sparse representation method for direction of arrival estimation based on dynamic dictionary as a solution to the off-grid effect. The statistic information of covariance matrix under the uncorrelated sources condition is utilized and a simple sparse representation model is given. Then the cross iteration and series expansion approximation are introduced...
Recently developed super-resolution algorithms have demonstrated performance approaching fundamental estimation-theoretic bounds. These algorithms have significant potential for applications such as vehicular situational awareness using low-cost, short-range millimeter wave radar sensors. In this paper, we show that such algorithms can approach single-sensor estimation-theoretic bounds for range and...
In this work, we propose a time-recursive multi-pitch estimation algorithm, using a sparse reconstruction framework, assuming only a few pitches from a large set of candidates to be active at each time instant. The proposed algorithm utilizes a sparse recursive least squares formulation augmented by an adaptive penalty term specifically designed to enforce a pitch structure on the solution. When evaluated...
Fine frequency estimation of a single complex sinusoid is considered. We propose to refine the frequency estimation provided by the state-of-the-art methods based on three discrete Fourier transform (DFT) samples around the DFT maximum. To that end, parabolic interpolation of the periodogram peak is used. With the calculation of only three additional periodogram samples, the Cramér-Rao lower bound...
Fingerprint enhancement is a critical step in fingerprint recognition systems. There are many existing contact-based fingerprint image enhancement methods and they have their own strengths and weaknesses. However, image enhancement approaches that can be used for contactless fingerprints are rarely considered and the number of such approaches is limited. Furthermore, the performance of existing contactbased...
Mobile Communication systems are affected apparently by the Doppler Frequency and Doppler Rate. In multicarrier systems, because of sensitiveness to frequency offset, estimation and compensation are of great importance, which determine system performance directly. In this paper, we consider this problem in FBMC-OQAM system, and based on the property of it, a proper structure of preamble sequence,...
Considering the limited FDOA estimation performance for frequency-hopping signal, a coherent accumulation method is developed in this paper. The method normalizes the FDOA of every hopping pulse and then accumulates all these modified CAFs coherently. As a result, it can enlarge the accumulative time length and improve FDOA resolution and accuracy distinctly. Theoretical analysis and simulation results...
Collective Detection (CD) is an interesting technique for acquiring highly attenuated satellites signals in harsh environment. The idea of this approach is to process all signals in view collectively to take advantage of the spatial correlation between GNSS signals as vector acquisition. In this way, the acquisition of weak signals will be facilitated by the presence of stronger ones. Increasing the...
In this paper, we propose a novel algorithm for blind estimation of carrier frequency offset (CFO) in MPSK receivers by using differential constellation trace figures (DCTFs) with application to radio frequency (RF) fingerprint extraction. Due to the quasi-symmetry property of DCTF, carrier frequency offset can be estimated from the orientation of the unique symmetric axis of DCTF through minimizing...
An improved estimation method of electrochemical impedance equivalent circuits' parameters is proposed. The method allows to decrease estimation errors of an electrolyte resistance in up to 6.5 times, a double layer capacitance - up to 5.8 times, and a charge transfer resistance - up to twice. The accuracy of Warburg constant estimation remains unchanged. To obtain electrolyte resistance estimation,...
In this paper, we propose an integer frequency offset estimation and compensation method based on PLC preamble correlation in DOCSIS 3.1 Downstream system. The proposed method finds out the PLC preamble subcarrier location recovered from PLC data and the one obtained from PLC preamble correlation. We showed the performance of PLC preamble detection in the received signal through the maximum value...
LFM signal is widely used in the domain of radar, sonar and communication. Both reliability and real-time is important for parameter estimation. The Fractional Fourier Transform exists problem of large calculation and bad real-time performance. To solve the problem, we use the Energy Barycenter Correction Method based on Nuttall window, combining with the idea of descending dimension. This method...
This paper presents a steady-state analysis of first-order complex adaptive notch filters in unbalanced three-phase power systems. By using first-order difference equation with respect to steady-state estimation error, analytical expressions of estimation bias and amplitude of oscillation error in an unbalanced condition have been derived. Closed-form expressions for bias and amplitude of oscillating...
Confirmation of Radar signals' pulse repetition frequency (PRF) is an important job for electronic intelligence reconnaissance. For space-borne SAR, different work mode is corresponding to different pulse repetition frequency. As a result, the confirmation of PRF can supply intelligence support for work mode reconnaissance. In this paper, a new estimation algorithm based on local wave decomposition...
In order to solve the problem of clock synchronization under the condition of small sample set, a state optimal estimation method of data fusion bases on natural selection PSO algorithm is proposed. First, use Kalman filtering algorithm and Bootstrap method to local filtering process the measurement data under the condition of Monte Carlo simulation experiment, and the reliability of the data is improved...
Fundamental frequency (F0) estimation plays an important role in speech processing such as speech coding, synthesis, recognition and so on. Although a present F0 estimation method performs well under clean condition, the performance deteriorates significantly in noisy environment. For this reason robust F0 estimation against additive noise is demanded. We have previously proposed F0 estimation methods...
For the Sinusoid Signals with additive Gauss white noise, a frequency estimation algorithm based on discrete Fourier transform (DFT) interpolation algorithm is proposed in this paper. Based on the classical interpolation algorithm, the algorithm of this paper takes full use of the Peak Spectral Frequency and its neighbor spectral lines to estimate the frequency of the signal. The analysis and simulation...
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