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In general cases, particularly in developing countries, the weakness of the national electric grid is due to overloading, high temperatures and bad weather. In such systems, the interruptions of electricity supply can take several hours to days. To prevent the power deficit, consumers can use diesel generators that are very noisy and highly polluting. But, as alternative, this paper proposes a combination...
Traffic retention is an important factor of intelligent transportation system, which can vividly reflect current state of the road. Accurate estimation of traffic retention can provide support for the dynamic allocation of the traffic signal, thus alleviating the problem of urban traffic congestion. The traditional method can only estimate the long-term or red light traffic retention according to...
The Multi Arm Bandit (MAB) problem is a well-known decision making problem, where the gambler (operator), seeks the highest value and best choice among arms with different reward distributions. In recent years, many effective strategies have been proposed for the mentioned MAB problem. The strategy's procedure mainly includes attempts on acquiring a better exploitation and efficiency, while also maximizing...
The accuracy of DOA estimation is affected by the wave velocity, which is always difficult to be obtained accurately. This paper proposes a velocity independent MUSIC (VI-MUSIC) algorithm by using the L-shaped array to eliminate the effect of using imprecise wave velocity. This simulation results show that that the proposed algorithm can achieve more accuracy than the existing DOA methods under the...
In this paper, direction of arrival (DOA) estimation using sum co-array of coprime arrays is studied. The array geometry can be represented as the kronecker product of those of two coprime arrays. This array structure can reduce the aperture loss when extracting the subarrays, which are jointly used to achieve high resolution and unique DOA estimation via low computational propagator method. Compare...
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...
This paper presents results of simulation research of off-line trained, feedforward neural-network-based state estimator. The investigated system is the mechanical part of electrical drive characterized by elastic coupling with working machine, modeled as dual-mass system. The aim of the research was to find a set of neural networks structures giving useful and repeatable results of the estimation...
The research presented here aims to improve the sensory economy of an all-accelerometer inertial measurement unit (IMU). The authors will show that accelerometers are underutilised in this class of IMUs when they are attached to dynamically constrained systems. This scenario usually warrants one of two solutions; each being geared towards general unconstrained motion. In this paper, however, the authors...
In this paper a new method for estimating shielding effectiveness (SE) of an enclosure with an arbitrary shape aperture is proposed. In this method, two horizontal and vertical microstriplines (MSLs) are utilized to determine the aperture impedance in two orientations. A network of ports is placed on both ends of these MSLs. An analytic formulation which includes S-parameters of these networks of...
This research proposes an improved controller design methodology for liquid level control of separator in an ocean thermal energy conversion (OTEC) plant using Uehara cycle. In the previous research, the control system design for liquid level control of separator was conducted based on the LQG control theory with state estimation via stationary Kalman Filter. However, it is verified by the simulation...
This paper proposes a diffusion filtered-x affine projection sign algorithm(DFxAPSA) for active noise control to improve robustness against impulsive noises and colored inputs. The proposed algorithm is obtained by minimizing the Li norm of a posterior error vector with constraint on adaptation update. The constraint prevents from dramatic change which is due to occurence of impulsive noises. Additionally,...
This paper proposes a sensorless field-oriented control(FOC) strategy for Surface-mount Permanent Magnet Synchronous Motor(SPMSM). Firstly, a rotor flux estimation method with a high pass filter is introduced. Secondly, the basic principle of PLL and PI parameters tuning method derivation are demonstrated. And then, the compensation method for the phase shift caused by the high pass filter has been...
This paper presents novel constrained consensus least mean square (cLMS) algorithms with adjustable constraints that can improve the learning performance of distributed estimation problems in sensor networks by exploiting the spatial diversity of the estimates. For the first algorithm, the constraint vectors are adjusted by combining the components of the estimate orthogonal to its neighbor estimates...
Generalized complementary filter (GCF) is an attractive solution for data fusion in attitude and heading reference system (AHRS) and inertial measurement unit (IMU), mainly because its computational efficiency. However, since the accelerometer in AHRS and IMU is sensitive to both the gravity and external acceleration, the performance of GCF will be degraded under dynamic circumstances, just as other...
We propose bias-compensated algorithms based on the RZA-LMS algorithm and diffusion RZA-LMS algorithm. Our proposed algorithms improve the accuracy of estimation under the situation that input of the adaptive filter contains noise. Estimation methods of the input noise' variance are given for implementing our single-node and diffusion bias-compensated algorithms. Simulation results show that the proposed...
In this paper, a novel self-calibration algorithm is proposed for two-dimensional (2-D) direction-of-arrival (DOA) estimation based on L-shaped array (LSA) with mutual coupling. In this method, we construct a transformation matrix to eliminate the mutual coupling between subarrays, and then the DOA estimation problem of LSA is transformed into that of uniform linear arrays (ULAs). Then we only need...
Ultra-wideband (UWB) signal offers high time resolution and precise time of arrive (TOA) estimation. But it requires extremely high sampling rate analog to digital conversion (ADC). To handle this problem, Compressive sampling (CS) theory has been used in UWB system to localize objects at a sampling rate much below the Nyquist rate. In this paper, we utilize Bayesian Compressive Sensing (BCS) to UWB...
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...
The accurate estimation of forest height is very important for understanding forest biomass and forest vertical structures. To investigate the potentials of forest height mapping for future Chinese satellite mission concepts with a waveform Lidar system onboard, a field campaign was designed and implemented in Weihe forest farm, Northeastern China in August of 2016. The method we proposed in this...
In this paper, we propose a novel distributed Kalman filter (KF) over sensor networks using partial diffusion strategy, where each sensor only communicates with its neighbours and individual estimation vectors are partially transmitted to obtain local ones through convex combinations under communication bandwidth constraints. Proposed solution can obtain a trade-off between communications burden and...
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