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Asynchronous fusion is one of the barriers among multisensor data fusion, and asynchronous track fusion is an important research aspect of asynchronous fusion for its practicability in application. At present, local prediction weighted fusion method is used extensively in processing asynchronous track fusion. In the current algorithms, the global fusion estimate isn't obtained by local sensors; thereby...
Multisensor data fusion based on wireless sensor networks (WSN) has many advantages over the traditional data fusion and is faced with many challenges. Because sensor nodes in WSN decentralize over wide area and data must be transmitted to the central processor by use of special wireless transport protocols for fusion, data delay and missing continually occur across sensor networks. Therefore, sensor...
Combining the multiscale capability from wavelet with the performance of real-time and recursion about Kalman filter, a multiscale sequential filter is proposed to process dynamic systems with multisensor. This filter can not only absolutely achieve the effect obtained via conventional multisensor fusion approach, but also it has the advantages as wavelet and Kalman filter. Its multiscale characteristic...
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