To deal with the sample degradation problem of particle filter, we proposed a novel resampling algorithm. It incorporates the most recent measurements via the extended Kalman filter (EKF) into the resampling procedure...
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In this paper, clutter suppression and target detection in clutter edge is discussed. Firstly the statistical model of the clutter edge is established, based on which maximum likelihood estimation for the transition r...
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In this paper, clutter suppression and target detection in clutter edge is discussed. Firstly the statistical model of the clutter edge is established, based on which maximum likelihood estimation for the transition range bin of the clutter edge is derived. Simulations illustrate that by carefully choosing the secondary samples based on the estimation result of the transition range bin, the signal to inference plus noise ratio (SINR) can be improved significantly.
In distributed systems, the server placement problem in which a new server has to compete with existing servers for user requests is important in planning of constructing new business service sites. In addition to min...
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In distributed systems, the server placement problem in which a new server has to compete with existing servers for user requests is important in planning of constructing new business service sites. In addition to minimizing cost, competition-aware server placement also needs to maximize the benefit of building a new server. This paper proposes a Tabu Search approach to optimize the problem in general graphs. Results from the simulation experiments show that it do has a better performance than both of the Greedy Add and Greedy Remove algorithms.
The static nonlinear feature of narrow band Radio Frequency Power Amplifier (RF PA) is made as the fingerprint of wireless communication emitter. RF PA with unknown input can be looked as a static nonlinear Hammerstei...
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The static nonlinear feature of narrow band Radio Frequency Power Amplifier (RF PA) is made as the fingerprint of wireless communication emitter. RF PA with unknown input can be looked as a static nonlinear Hammerstein model. The process of feature extraction from this model is split into two steps. The first step is signal samples whitening and the second is the estimation of Taylor series' coefficients. The order statistics of the whitening signal samples is monotone. Then the features are estimated through linear regression using least square method. Comparing feature vectors of 4 RF power amplifiers results in that the proposed algorithm is effectively to identification different type of RF power amplifiers.
Because the structure and function of a high-rise building is complex and the density of occupants in it is high, fire safety is still a worldwide difficult problem. Safety and timely evacuation is an important issue ...
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We present a fast collision detection method for deformable surfaces with parallel spatial hashing on GPU architecture. The efficient update and access of the uniform grid are exploited to accelerate the performance i...
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We present a fast collision detection method for deformable surfaces with parallel spatial hashing on GPU architecture. The efficient update and access of the uniform grid are exploited to accelerate the performance in our method. To deal with the inflexible memory system, which makes the building of stream data a challenging task on GPU, we propose to subdivide the whole workload into irregular segments and design an efficient evaluation algorithm, which employs parallel scan and stream compaction, to build the stream data in parallel. The load balancing is a key aspect that needs to be considered in the SIMD parallelism. We break the heavy and irregular collision computation down into lightweight part and heavyweight part, ensuring the later perfectly run in load balancing manner with each concurrent thread processes just a single collision. In practice, our approach can perform collision detection in tens of milliseconds on a PC with NVIDIAGTX 260 graphics card on benchmarks composed of millions of triangles. The results highlight our speedups over prior CPU-based and GPU-based algorithms.
In this paper,we propose a wireless channel testing method and construct the test platform for the Gbps broadband wireless *** proposed method is implemented to evaluate the transmission performance according to the a...
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In this paper,we propose a wireless channel testing method and construct the test platform for the Gbps broadband wireless *** proposed method is implemented to evaluate the transmission performance according to the acquired field test *** results have shown that the proposed channel test algorithm is valid and efficient,which can continuously show the variation of system throughput,frame loss rate and latency.
Because the structure and function of a high-rise building is complex and the density of occupants in it is high, fire safety is still a worldwide difficult problem. Safety and timely evacuation is an important issue ...
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Because the structure and function of a high-rise building is complex and the density of occupants in it is high, fire safety is still a worldwide difficult problem. Safety and timely evacuation is an important issue under fire in the high-rise buildings. Because it is impossible in fact to do experiments about fire safety evacuation in high-rise buildings, in this paper, a research framework based on the artificial system, computational experiments, and parallel excution (ACP) theory is proposed. First, an evacuation process is considered to compose of two stages including pre-evacuation stage and evacuation stage. Second, artifical men with recognition functions based agent technology is proposed. Finally, computational experiments are designed by using an orthogonal experiment table, and experiment procedure of pre-evacuation stage is given. The idea of systimatic research about the influence of fire control facilities to evacuation is also proposed.
In this paper, distributed data fusion for satellite passive localization is examined. The traditional single or multiple satellite passive localization systems usually use a fixed localization mode which commonly has...
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In this paper, passive localization from a single satellite is addressed. Passive localization is a typical nonlinear filtering and optimal estimation problem, and usually suffers large initial estimation error and lo...
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