Images taken by different sensors at different time instant with different resolutions are formulated by state space models, and are fused by use of Multiscale Kalman Filter(MKF). The effectiveness of the presented al...
详细信息
ISBN:
(纸本)9781479947249
Images taken by different sensors at different time instant with different resolutions are formulated by state space models, and are fused by use of Multiscale Kalman Filter(MKF). The effectiveness of the presented algorithm is shown by comparing it with the wavelet based method through experiments, where four performance measures are used. The performance evaluation indices are the root mean square errors(RMSE), the information entropy(Entropy), the space frequency(SF) and the space visibility(SV). Theretical analysis and experimental results show the effectiveness of the presented algorithm.
A sequential fusion and state estimation algorithm for an asynchronous multirate multisensor dynamic system is presented in this *** dynamic system at the finest scale is *** are multiple sensors observing a single ta...
详细信息
A sequential fusion and state estimation algorithm for an asynchronous multirate multisensor dynamic system is presented in this *** dynamic system at the finest scale is *** are multiple sensors observing a single target independently with different sampling rates,and the observations are obtained *** present algorithm is shown to be more effective and efficient than the existed *** on a radar tracking system with three sensors are done and show the effectiveness of the present algorithm.
During animation design process, when the overlap of animation graphics is overtopping, inaccurate three-dimensional feature points appear in the established model, which resulting in low fidelity of model. For this d...
详细信息
Due to wide frequency band, the long-distance communication is prone to be jammed by traditional radios. Furthermore, severe interference will lead to serious deterioration of performance. To solve this problem, the p...
详细信息
For the future wireless networks, heterogeneous data traffic services, i.e., variant bit-rate (VBR) service and constant bit rate (CBR) service are needed to be supported. The optimal power allocation algorithm for th...
详细信息
ISBN:
(纸本)9781479944156
For the future wireless networks, heterogeneous data traffic services, i.e., variant bit-rate (VBR) service and constant bit rate (CBR) service are needed to be supported. The optimal power allocation algorithm for the non-orthogonal AF (NAF) Relays-assisted multicast transmission, which may be suitable for the VBR service, has been investigated in [2]. However, the power allocation algorithms for the cases of CBR service and heterogeneous data traffics service are not considered. In this paper, a power allocation problem is addressed by considering the heterogeneous data traffic with VBR and CBR services in the uplink data transmission, where Different from assumption of infinite length of spreading code in [2], a finite length of spreading code is considered and the interference among the signals from mobile terminal and relays exists. And then, an optimal power allocation algorithm is proposed by solving its inverse problem. Simulation results demonstrate the efficiency of the proposed algorithm.
Hashing is very useful for fast approximate similarity search on large database. In the unsupervised settings, most hashing methods aim at preserving the similarity defined by Euclidean distance. Hash codes generated ...
详细信息
ISBN:
(纸本)9781479951192
Hashing is very useful for fast approximate similarity search on large database. In the unsupervised settings, most hashing methods aim at preserving the similarity defined by Euclidean distance. Hash codes generated by these approaches only keep their Hamming distance corresponding to the pairwise Euclidean distance, ignoring the local distribution of each data point. This objective does not hold for k-nearest neighbors search. In this paper, we firstly propose a new adaptive similarity measure which is consistent with k-NN search, and prove that it leads to a valid kernel. Then we propose a hashing scheme which uses binary codes to preserve the kernel function. Using low-rank approximation, our hashing framework is more effective than existing methods that preserve similarity over arbitrary kernel. The proposed kernel function, hashing framework, and their combination have demonstrated significant advantages compared with several state-of-the-art methods.
We propose a two-layer optimization framework for the unmanned aerial vehicle path planning problem to handle interval uncertainties that exist in the combat field. When evaluating a candidate flight path, we first ca...
详细信息
We propose a two-layer optimization framework for the unmanned aerial vehicle path planning problem to handle interval uncertainties that exist in the combat field. When evaluating a candidate flight path, we first calculate the interval response (i.e., the upper and lower bounds) of the candidate flight path within the inner layer of the framework using a collocation interval analysis method (CIAM). Then, in the outer layer, we introduce a novel criterion for interval response comparison. The artificial bee colony algorithm is used to search for the optimal flight path according to this new criterion. Our experimental results show that the CIAM adopted is a feasible option, which largely eases the computational burden. Moreover, our derived flight paths can effectively handle bounded uncertainties without knowing the corresponding uncertainty distributions.
The DC motor is optimal designed using multi-objective hybrid Simulated Annealing(SA) algorithm. Typical examples of optimization show the efficiency and feasibility of the algorithm.
The DC motor is optimal designed using multi-objective hybrid Simulated Annealing(SA) algorithm. Typical examples of optimization show the efficiency and feasibility of the algorithm.
Conventional long baseline interferometer based Direction of Arrival (DOA) requires multi-group long baselines and short baselines to deblur. In this paper, only using the time difference of arrival (TDOA) data of lon...
详细信息
ISBN:
(纸本)9781479944156
Conventional long baseline interferometer based Direction of Arrival (DOA) requires multi-group long baselines and short baselines to deblur. In this paper, only using the time difference of arrival (TDOA) data of long baseline interferometer can cancel the debluring shortage and achieve high-precision DOA estimation. Meanwhile iterative filtering algorithm is adopted to extract high-precision changing rate of phase difference from the fuzzy phase difference data of long baseline. Combined with the measured DF and the change rate of phase difference, particle filter algorithm is utilized to achieve high-precision single-station passive location. Parameter measurement and the distribution of location error are verified through theoretical simulations. And the simulation results demonstrate the efficiency of the single-station location method based on long baseline interferometer.
RS code concatenated with PTCM technology and symbol interleaver are experimentally investigated in 60 GHz OFDM-RoF system. Symbol interleaver is used to combat the asymmetrical error distribution in OFDM sub-carriers...
详细信息
RS code concatenated with PTCM technology and symbol interleaver are experimentally investigated in 60 GHz OFDM-RoF system. Symbol interleaver is used to combat the asymmetrical error distribution in OFDM sub-carriers, and RS with high code rate concatenated with PTCM can correct errors to improve performance of the OFDM system. Experimental results show that the receiver sensitivity of 2.5 Gb/s OFDM signal adopted the 16QAM modulation format with RS-PTCM scheme can save up to 7 dB receive power relative to 2.5 Gb/s OFDM signal with the uncoded QPSK scheme.
暂无评论