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Instead of using a single large aperture antenna to implement track and commute with spatial targets, array-based receiving architecture is quickly becoming an attractive approach due to its low cost, flexibility and robustness. In this paper, we consider a scene in which multiple receiving sensors are randomly distributed. Two co-channel signals from different sources with the same carrier frequency...
A dynamic wireless power transfer (WPT) system for electric vehicles (EVs) has gathered attention and been expected to extend the limited driving range of EVs. Previous research has proposed secondary-side-only power and efficiency control to simplify the road-side facilities, which are installed over long distances. Although the primary voltage and the mutual inductance between the transmitter and...
In this paper, we investigate the demodulation of a communication signal that is interfered by a high-powered radar signal. We choose quaternary phase-shift keying (QPSK) modulation for illustration. A least squares estimator (LSE) is used to estimate the amplitude and phase of the interfering radar signal to be used for interference cancellation. Then a maximum likelihood detection (MLD) receiver...
High-altitude electromagnetic pulse (HEMP), ultrawide-band pulse (UWB) and lightning electromagnetic pulse (LEMP) are often mathematically described by a double exponential function. In practice, the physical parameters of the pulse and the mathematical parameters of the function must often be transformed into each other. In this paper, a strict implicit translation equation group of parameters is...
This article deals with the analysis of noise parameter estimation for captured image under motion blurring and illumination flickering. A captured image is first analysed for determination of motion blur parameters i.e., direction of blur and pixel displacement length (PDL) and it is carried out using edge information of the image. Subsequently a blur-free image is processed for estimation of illumination...
The efficiency of a Golomb code depends on how well its coding parameter reflects the input data to be compressed. Typically, such a coding parameter is estimated from the entire dataset. We propose a fast processing method, which estimates the coding parameter based on a very sparse sampling of the dataset. Simulations on both synthetic data and hyperspectral image data showed that the fast method...
In this article, the problem of state and parameter estimation is considered for an one-dimensional chaotic system. Based on the guaranteed approach and interval computations, the proposed algorithm finds interval estimates (information sets) of unknown variables. Common estimation techniques (least squares method, modifications of the Kalman filter for nonlinear systems) can be combined with the...
In this paper we present a novel algorithm for estimating system parameters of arbitrary aerial manipulators. We abstract an aerial manipulator as a rigid body with forces and torques applied at arbitrary locations. It is also assumed that there are sensors that measure forces, accelerations and angular velocities at these locations. The problem studied here is to fuse these sensor data in real time...
The purpose of spectrum sensing is to determine idle portions of a licensed spectrum band that could be used by unlicensed or secondary users without causing harmful interference to primary users. Collaborative spectrum sensing involves multiple secondary users to make joint decisions about spectrum occupancy. By exploiting multiuser diversity, collaborative sensing can alleviate the effects of hidden...
Prediction of degradation paths is important to condition-based maintenance (CBM). To address the detection of the existence of a sudden change point in a degradation path, a piecewise model based on Wiener process with a linear drift is proposed. Two different degradation drifts are introduced in the model as hidden states. Based on the Bayesian theorem, the likelihood function is given and the algorithm...
Identification of linear time-invariant multivariable systems can best be understood as comprising three separate problems: selection of system model structure, filter design, and parameter estimation itself. In previous contributions we approached the first using matchable-observable models originally developed in the adaptive control literature, and used direct or derivative-free optimization to...
Accurate energy estimates for applications running on FPGA based processors at runtime can enable advanced energy management algorithms to dynamically tune the system to optimize its energy consumption and in turn increase the battery life in the mobile systems. This paper presents an online methodology to monitor energy per instruction on FPGA platform that can be used to accurately estimate energy...
In the course of signal and information processing, the linear processing method is easier to master than the nonlinear process. However, in practical application, the nonlinear problem is often encountered, which is too complex to be limited by the existing signal and information processing resources. Therefore, it is necessary to transform the complex nonlinear problem into a simple linear problem...
This paper introduces the principle of least squares briefly. We can get optimal results by least squares when conduct parameter estimation, in the case of the pending data does not contain gross errors. But the least squares method cannot avoid the influence of gross errors. When teachers teach this part, they only teach the least squares principle generally. They do not show students how to avoid...
In this paper, we will investigate parameter estimation for generalized frequency division multiplexing (GFDM) signals over frequency-selective fading channels. Based on the characteristics of the second-order cyclostationary statistics of GFDM signals, we develop algorithms to blindly estimate pure block duration, overall block duration, symbol duration, and number of subcarriers. The proposed algorithms...
To reduce the large computation of joint direction-of-arrival (DOA) and polarization parameters estimation based on electromagnetic vector sensor array, a reduced-dimensional MUSIC algorithm with modulus constraint (MC-RDMUSIC) is proposed. The MC-RDMUSIC algorithm estimates the DOA and polarization parameters in two separate steps. In step one, DOA parameter is separated from polarization parameters...
The article describes software implementation of Hurst (self-similarity) parameter estimator based on discrete wavelet transform. The main purpose is to estimate the Hurst parameter as soon as possible, by using acquired traffic samples and avoiding segmentation and waiting for data accumulation. Thus, the processing of traffic would be evenly distributed over the entire measurement time interval,...
Multiphase variable-speed drives' advantages such as fault tolerance and better power-per-phase splitting make these electromagnetic devices suitable for high reliability applications. However, the applied control techniques require accurate knowledge of the electrical parameters of the machine. Although a large number of modulation and control strategies have been proposed, little work has been focused...
The reliability of the convertor in double-fed wind power generator set is relatively poor. Once the switch of the convertor fails, the entire wind turbine set may be severely damaged or shut down. As to the issues, an open-circuited fault detection method is proposed on the basis of parameter estimation for the switch of rotor side convertor in double-fed wind power generator set. A whole model is...
We propose a visual tracking method for dense fish schools in which occlusions occur frequently. Although much progress has been made for tracking multiple objects in video images, it is challenging to track individuals in highly dense groups. For occluded fishes, estimation of their positions and directions is difficult. However, if we know the number of fishes in a local area, we can accurately...
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