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The micro-Doppler (m-D) feature is regarded as a unique characteristic for target recognition. Sparse recovery based approaches for m-D parameter estimation using the single measurement vector (SMV) model have shown their effectiveness recently. However, SMV only fits for narrowband m-D signals, and accurate parameters can hardly be estimated using SMV in strong noise. The signals with the same sparse...
The modeling of fluid catalytic cracking unit (FCCU) is important due to the significant role of FCCU in oil refining. On account of the strong nonlinearity of FCCU mechanisms the solved optimized parameters are usually local optimum, which is sensible to the parameter initial value. A parameter estimation framework and algorithm is proposed in this paper for getting a stable optimal solution. According...
This paper deals with the development and implementation of an on-line stator resistance and permanent magnet flux linkage identification approach devoted to three-phase and open-end winding permanent magnet synchronous motor drives. In particular, the stator resistance and the permanent magnet flux linkage variations are independently determined by exploiting a current vector control strategy, in...
In the frame of the green economy, anisotropic synchronous motors are gaining considerable shares of market. There are already several interesting proposals about the accurate magnetic modelling of their complex magnetic structure, that generally require the a priori knowledge of the stator resistance. It is true that there are many papers even about the resistance estimation, but quite surprisingly...
For automotive applications, accurate torque production capability and high efficiency of the traction motor is very important. However, the performance of widely used interior permanent magnet (IPM) machine is influenced by temperature variation. In this paper, a control algorithm is proposed to compensate the performance variations in IPM machines due to temperature change utilizing current pulse...
Efficiency of induction machines can be determined using international efficiency test standards such as the IEEE standard 112, IEC 60034-2-1 and JEC 37. The methods presented in these standards involve tests such as the no-load test, lock rotor test and a dynamometer test. Performing the no-load test is simple with fewer requirements in terms of equipment. The dynamometer test and the locked rotor...
This paper proposes a blind interleaver period estimation algorithm by sorting error-less symbols. After finding the error-less symbols through the rank distribution of the square matrices, we construct a rectangular matrix by locating errorless symbols on the top of a matrix. By analyzing this matrix, we can estimate the interleaver period. Experimental results show that the proposed algorithm has...
Parameters estimation is a crucial and challenging component for Frequency-Hopping (FH) communication. Time-frequency analysis is a valid signal processing tool to estimate parameters of FH signal. However, the existing Time-Frequency analysis methods have several shortcomings such as weak suppression noise interference and feeble concentration of Time-Frequency, resulting in inaccurate parameter...
The equivalent circuit parameters of an interior permanent magnet synchronous machine (PMSM) vary under different operating conditions due to magnetic saturation and temperature rise. Knowledge of accurate machine parameters is of paramount importance for high performance PMSM control and condition monitoring. Therefore, this paper presents a novel parameter estimation method, which employs both the...
Electric water heaters have been regarded as a load to be exploited in residential energy management applications due to their potential energy storage capacity. Nevertheless, the implementation of control strategies for water heater systems requires high-performance models which must be capable of reproducing a water heater's internal operation dynamics, especially their inner water temperature variations...
Source parameter estimation is an appealing research topic over decades in the field of array signal processing. The estimation performance of multidimensional parameter directly influences the effect of subsequent procedures, such as signal detection and filtering. In this paper we give a brief review of direction of arrival (DOA) and polarization parameter estimation methods. Based on a sensor array...
Highway tunnel environment is dim, with the interaction of multi-color light sources, which forms a light haze. Such a complicated scene makes the image blurred and arouses difficulties in the image enhancement. According to the law of haze imaging, a haze removal algorithm for nighttime scene is applied to enhance the tunnel image in this paper. First, the global atmospheric light is estimated as...
The scattering model based on geometrical theory of diffraction (GTD) is exactly related to the electromagnetic scattering mechanism of the targets. The parameter of GTD is of significant important to the description of the target. In this paper, we propose a novel method for the parameter estimation of GTD model. The proposed method utilizes the iterative adaptive approach to estimate model parameters...
Markov Random Fields are widely used to model lightfield stereo matching problems. However, most previous approaches used fixed parameters and did not adapt to lightfield statistics. Instead, they explored explicit vision cues to provide local adaptability and thus enhanced depth quality. But such additional assumptions could end up confining their applicability, e.g. algorithms designed for dense...
As the advantages of good convergence and less computing time in estimating multiple parameters, genetic algorithm (GA) has been applied to estimate the parameters of the multiple scattering centers. It is found that various objective functions (OF) selected in GA yields different estimation results. The performance comparison among different OFs are investigated in detail, based on which, an optimal...
The paper deals with the problem of synthesis and analysis for procedures of reliability parameters estimation in case of radioelectronic devices technical state deterioration. The synthesis problem was solved on the basis of the maximum likelihood method. The analysis problem was solved using analytical calculations and based on statistical simulation.
The objective of this paper is to identify a synchronous generator's internal voltage, dq-axis reactances using Phasor Measurement Unit (PMU) data obtained at the terminal bus of the generator. Our approach is to firstly classify the PMU data into inputs and outputs and then identify the relationship between the inputs and the outputs. With different classifications and different assumptions on salience,...
This paper presents an estimation procedure of equivalent electric circuit parameters of a lithium-ion cell using data from a pulse charge/discharge test. An extraction process of the model parameters is based on a transient voltage response of relaxation process following a current pulse. The entire procedure is straightforward and there is no restriction in a number of parallel RC-branches in the...
The paper provides reasonable determination of the mapping rule and the sampling interval for human joint impedance estimation based on the observation from a variety of viewpoints. While a human joint can be modeled by a linear second-order continuous-time system, conventional parametric estimation methods such as the least squares method is carried out with the sampled input-output data, and thus,...
In ultrasonic NDE applications, the received signal carries valuable physical information along the wave propagation path such as locations, orientation and sizes of discontinuities. Various signal processing algorithms have been utilized to interrogate ultrasonic echoes, highly overlapped and sometimes noise-contaminated. As of assessing and monitoring the in-situ outsized structures, it becomes...
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