We present a mobile platform for body sensor networking based on a smartphone for lightweight signal processing of sensor mote data. The platform allows for local processing of data at both the sensor mote and smartph...
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Recognition of wobbling and nutating cone-shaped targets is a major challenge in space target recognition area. In this paper, we develop a signal model of multiple scattering centers on the wobbling and nutating cone...
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ISBN:
(纸本)9781424465828
Recognition of wobbling and nutating cone-shaped targets is a major challenge in space target recognition area. In this paper, we develop a signal model of multiple scattering centers on the wobbling and nutating cone-shaped targets, analyze the microDoppler characteristics of their echo. It is concluded that the micro-Doppler features have remarkable differences due to their different micromotion. Therefore, we apply viterbi algorithm to extract the micro-Doppler and micro-motion parameters, the simulation results demonstrate that the wobbling and nutating cone-shaped targets can be recognized effectively in this way.
This paper investigates the peak-to-average power ratio (PAPR) theory in all-optical orthogonal frequency division multiplexing (OFDM) optical fibre communication systems. We find out that phase pre-emphasis could eff...
This paper investigates the peak-to-average power ratio (PAPR) theory in all-optical orthogonal frequency division multiplexing (OFDM) optical fibre communication systems. We find out that phase pre-emphasis could effectively reduce PAPR in all-optical OFDM communication systems which employ intensity modulation-direct detection (IM-DD) method. An equation is developed and proposed to calculate suitable phasing values for pre-emphasis. Furthermore, we find out that phase pre-emphasis cannot reduce PAPR effectively in all-optical OFDM systems that employ Phase Shift Keying (PSK) or Quadracture Amplitude Modulation (QAM) method.
Gossiping, a probabilistic algorithm for network-wide broadcasting, can significantly reduce the number of transmissions in one-to-all message spread. Based on the Continuum Percolation Theory, we develop a novel anal...
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Gossiping, a probabilistic algorithm for network-wide broadcasting, can significantly reduce the number of transmissions in one-to-all message spread. Based on the Continuum Percolation Theory, we develop a novel analytical model of gossiping for wireless ad hoc networks. This model provides an intuitive way for setting the gossiping probability, so that a gossip achieves high degree of network coverage with limited number of transmissions. We also propose and study a distributed gossiping scheme, in which nodes set their gossiping probabilities according to locally acquired information. Both gossiping schemes are demonstrated to be scalable; i.e., for fixed network area, the expected number of gossip transmissions does not depend on the number of nodes in the network. The analytical results are verified via simulations of large ad hoc networks.
In this paper, we propose an iterative design approach to jointly optimize probing signal waveforms and a receive filter bank for a multiple-input multiple-output (MIMO) radar under a constant modulus constraint. The ...
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ISBN:
(纸本)9781424442959
In this paper, we propose an iterative design approach to jointly optimize probing signal waveforms and a receive filter bank for a multiple-input multiple-output (MIMO) radar under a constant modulus constraint. The design goals are to approximate a desired beampattern and to minimize the auto/cross- correlation levels of the probing signal waveforms for different time lags and between different spatial angles. Since the overall design problem is nonconvex, we propose to optimize the transmit probing signals and receive filter bank separately and alternately. The optimization of receive filter bank is a standard least squares problem, while the optimization of the constant modulus transmit signal waveforms is a norm-constrained least squares problem which can be approximately solved using a low-rank semidefinite relaxation procedure. We demonstrate the effectiveness of our proposed approach through a simulation example.
Numerous deployments of Wireless Sensor networks (WSNs) have shown that intricate problems are introduced by deploying sensor nodes in an unknown and dynamic environment. Consequently, a vital part of a WSN deployment...
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ISBN:
(纸本)9781605588513
Numerous deployments of Wireless Sensor networks (WSNs) have shown that intricate problems are introduced by deploying sensor nodes in an unknown and dynamic environment. Consequently, a vital part of a WSN deployment is the supervision of the sensor nodes and detection of abnormalities in their operation. Previous approaches have devised hand-crafted solutions to detect application-specific problems. This work proposes a generic middleware component, named MoMi, to detect such problems in a systematic way. Given a description of normal system behavior MoMi uses a Model-Based Diagnosis (MBD) framework to present the likely causes of system abnormalities to an administrator. This paper demonstrates a proof of concept implementation of MBD on sensor nodes and presents examples of its applicability for typical WSN applications. Copyright 2009 ACM.
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weighted case to incorporate various user pr...
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ISBN:
(纸本)9781605583259
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weighted case to incorporate various user preferences into hypervolume-based search algorithms. There are two main open questions in this context: (i) how does the specified weight influence the distribution of a fixed number of points that maximize the weighted hypervolume indicator? (ii) how can the user articulate her preferences easily without specifying a certain weight distribution function? In this paper, we tackle both questions. First, we theoretically investigate optimal distributions of μ points that maximize the weighted hypervolume indicator. Second, based on the obtained theoretical results, we propose a new approach to articulate user preferences within biobjective hypervolume-based optimization in terms of specifying a desired density of points on a predefined (imaginary) Pareto front. Within this approach, a new exact algorithm based on dynamic programming is proposed which selects the set of μ points that maximizes the (weighted) hypervolume indicator. Experiments on various test functions show the usefulness of this new preference articulation approach and the agreement between theory and practice. Copyright 2009 ACM.
Since biometric data are unique and permanent characteristics of individuals, the privacy protection of biometric authentication schemes has become a common concern of the public. Recently, Tang et al. proposed a biom...
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Wireless sensor networks are open architectures, so any potential threat can easily intercept, wiretap and counterfeit the information. Therefore, the safety of WSN is very important. Since any single key system canno...
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