多小波基多尺度多传感器数据融合

多传感器数据融合技术已经被广泛应用在多个领域,小波多尺度分解对数据的分析具有独特的优点,小波基的选择对数据融合结果也起着关键的作用.提出一种新的基于多个小波基的数据融合算法,先对含有噪声的传感器信号进行多个不同小波基的多尺度分解,然后对相同小波基分解的信号在多尺度上实施加权数据融合算法,之后进行不同小波基的逆变换得到的重构信号,最后将基于不同小波基的重构信号做最终的融合.实验结果表明:数据融合技术可以从多个方面多个层面以及多种融合原则来考虑,从而融合众多的因素得到最优的结果.

Multi-wavelet-basis multi-scale multi-sensor data fusion

Multi-sensor data fusion technology has been widely used in many fields.Multi-scale decomposition of wavelet has unique advantages to data analysis,and the choice of wavelet-basis play a key role to data fusion results.A new data fusion algorithm based on a number of wavelet is proposed.The multi-wavelet basis and scale wavelet decomposition to the sensor signals,and the weighted data fusion algorithm was implemented to signals of the same wavelet-basis decomposition on multi-scale,after the signal was reco...