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The widely-used attitude algorithms for geomagnetic and inertial measurement unit (MAG-μIMU) are extended Kalman filter and complementary filter, which aim to fuse the outputs of the sensors in MAG-μIMU for attitude determination of the carrier. How to determine whether the carrier is moving or not so as to depress the influences of linear acceleration to attitude determination is the key and however...
Sparsity and low-rank structures are recently considered as an important property in various signal processing problems. They have been widely applied in image processing, communication, computer vision, pattern recognition, radar, etc. The main purpose of this paper is to provide a review on sparse representation and low-rank approximation, and their applications in sensor signal processing. Three...
In this paper, a novel algorithm is developed for the design of minimum-phase FIR filters with sparse impulse responses. Traditional minimum-phase FIR filter design approaches are based on autocorrelation sequences of impulse responses and design problems are formulated as a semidefinite program. To achieve sparse designs, l1 norm of filter coefficients is incorporated in the objective function as...
The energy consumption issue of mobile devices has been widely studied recently. For instance, Smartphone users may recharge their mobile devices multiple times a day especially when users surf on the Internet through Wi-Fi or 3/4G networks. Although smartphone producers have put much effort to prolong the daily usage time of smartphones, e.g., equipping smartphones with large-capacity batteries,...
In this paper, a novel algorithm is proposed for locating sensor networks. In general, Euclidean distance matrices are incomplete due to their limited communication power. Furthermore, distance measurements are contaminated by noise. For the purpose of localization, unknown distances are first estimated via low rank approximation. Relative coordinates of sensors are then obtained by eigenvalue decomposition...
In this paper, a novel algorithm is presented for the design of sparse linear-phase FIR filters. Compared to traditional l1-optimization-based methods, the proposed algorithm minimizes l1 norm of a portion (instead of all) of nonzero coefficients. In this way, some nonzero coefficients at crucial positions are not affected by l1 norm utilized in the objective function. The proposed algorithm employs...
In this paper, a novel algorithm is developed for the minimax design of IIR digital filters. Using a partial second-order factorization (PSOF), the denominator polynomial of an IIR digital filter is decomposed as a cascade of second-order factors (SOFs) and a single higher-order factor (HOF). This is inspired by the fact that, when some poles are closer to the boundary of the stability domain, the...
In this paper, a direct grid current control strategy for grid-connected voltage source inverters with an LCL-filter is proposed. The direct grid current control is used to mitigate the grid voltage disturbance, then the characteristics of the inverter system with the proposed controller are investigated and compared with those using traditional control strategies. In the proposed control strategy,...
This article design PON with working vacation mechanism about bandwidth distribution in uplink direction, and optimize the serving rate of vacation and roving by ant colony algorithms (ACA), giving the objective function. The convergence speed can be improved by setting the threshold of objectives. More and more ants concentrate towards the optimal solution space in the result of the change of hormones...
Based on microgrid frequency, a new photovoltaic (PV)/ battery (BA)/ fuel cell (FC) hybrid energy management strategy with modified droop control for islanded application is proposed in this paper. This strategy enables the plug and play capability in the distributed units with voltage control mode and makes it possible to avoid using the communication line or a central supervisor. The system frequency...
In this paper, we propose a distributed deployment algorithm for mobile sensor networks. The algorithm imitates the flocking behavior to drive sensors to suitable positions around the target of interest (TOI), such that the distance between each pair of neighboring sensors approaches a desired value, which could be determined by practical communication model. The movement of each sensor is governed...
A distributed sensor network localization algorithm is presented in this paper. During the localization procedure, each sensor estimates its own coordinate using a local multidimensional scaling (MDS) algorithm. In contrast to the classical MDS algorithm adopting the centralized processing, all the neighbors of each sensor are considered as anchor nodes in the local MDS algorithm. Furthermore, each...
In this paper, a novel method is developed for the design of IIR digital filters in the minimax sense. The Steiglitz–McBride (SM) scheme is adopted in the proposed method to simplify the design procedure. But, different from traditional SM-based design approaches, our method decomposes the denominator polynomial of an IIR digital filter as a cascade of several second-order factors (SOFs) and a higher-order...
A novel stability condition is developed in this paper. It is both necessary and sufficient, which ensures that optimal design cannot be excluded from the admissible solutions. Compared to other necessary and sufficient stability conditions, the proposed one can be expressed as a quadratic constraint in terms of denominator coefficients, which facilitates its combination with other widely used IIR...
A large number of experiments have demonstrated that for an FIR filter the sparsity of filter coefficients is highly related to its filter order. However, traditional sparse FIR filter design methods focus on how to increase the number of zero-valued coefficients, but overlook the impact of filter orders on design performance. As an attempt to jointly optimize filter length and sparsity of an FIR...
In this paper, a novel method is proposed to design FIR filters. In our designs, the objective is to reduce the minimax approximation error of an FIR filter subject to peak error constraints imposed on group delays in passbands. Starting from an initial design, the proposed method employs an iterative procedure. In each iterative step, a nonlinear equation is solved to make group delay constraints...
In this paper, we present a novel algorithm to design sparse FIR digital filters in the minimax sense. To tackle the nonconvexity of the design problem, an efficient iterative procedure is developed to find a potential sparsity pattern. In each iteration, a subproblem in a simpler form is constructed. Instead of directly resolving these nonconvex subproblems, we resort to their respective dual problems...
A factorization method was introduced to electromagnetic tomography (EMT) in this paper. Compared with the traditional methods based on the sensitivity theorem, the proposed method can generate the reconstructed images directly. Neither matrix inversion nor iterations is needed in the reconstruction process. The reconstruction process is simple, as the test function is calculated according to the...
The power spectral density function and the ambiguity function(AF) properties of Combination of Chirp Modulation and Pseudonoise Phase Modulation (PN-chirp) pulse signal is analyzed. According to the AF definition of a given finite energy signal, the AF of PN-chirp signal is deduced, and the autocorrelation function of the signal is also obtained. The AF of PN-chirp signal and Pseudonoise Phase Modulation...
A utility-connected wind-power generation scheme using permanent magnet synchronous machines (PMSMs) in conjunction with a direct AC-AC matrix converter is proposed. The matrix converter converts the high-frequency of a micro-turbine generator to a conventional frequency of the utility system, based on a novel switching strategy. The control algorithm regulates magnitude and phase-angle of the converter...
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