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Target tracking is one of the most important applications for wireless sensor networks (WSNs). It is usually assumed that the knowledge of the sensor nodes' position is known precisely. However, practically nodes are randomly deployed without prior knowledge about their own positions. In this situation, simultaneous localization and tracking (SLAT) is necessary and is receiving more and more research...
First, motion characteristics of near space hypersonic targets are given and the moving model for aircrafts is built. Then, according to the disadvantage which time sample is a constant when tracking hypersonic targets, an adaptive tracking algorithm of time samples is proposed. This algorithm used the recursion formula method in real time and mixed Singer model with algorithm of IMM. Simulation shows...
The recent growing interest for location-based services (LBSs) has created a demand on more accurate and robust object localization approaches. In this paper, the Bayesian compressed sensing (BCS) is employed to localize a single or multiple objects in a wireless sensor network (WSN). This is motivated by the advantages of BCS such as closer to l0-norm, and better performance of reconstruction in...
In order to improve the performance of voice activity detection under multiple noise environments, a new voice activity detection algorithm based on the bis-pectrum was presented. This method detect the speech signal by using the special slice of the bispectrum. The performance of the algorithm was compared with the voice activity detection algorithm in standard G.729 annex B of ITU in experimental...
In the three-dimensional positioning process, pervasive computing requires higher positioning accuracy and fast response to the location information. Based on the analysis of the traditional location algorithm, the study on regional errors found that four positioning reference nodes in the space could improve the positioning accuracy according to a certain distribution model, showing better provision...
We consider the problem of target tracking in a wireless sensor network (WSN) that consists of randomly distributed range-only sensors. Quantized measurements are usually adopted in such a network to attack the problem of limited power supply and communication bandwidth. Assuming that local sensor noises are mutually independent, we derive the posterior Cramer-Rao lower bound (CRLB) on the mean squared...
The decentralized collaborative target tracking problem in wireless sensor network (WSN) is investigated in the fusion of quantized innovations perspective. A hierarchical fusion structure with feedback from the fusion center (FC) to each deployed sensor is proposed for tracking a target with nonlinear Gaussian dynamics. Probabilistic quantization strategy is employed in the local sensor node to quantize...
How to obtain location information of an unknown node precisely is a key problem of locating service under ubiquitous computing environment. The paper proposes and proves the theorem of spatial location unit distribution model according to the analysis of the location error produced during location in the three-dimensional space. On this basis, the location unit selection (LUS) algorithm is proposed...
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