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中文核心期刊

独立观测资料的最佳线性数据融合

Optimum linear data fusion for independent observation data

  • 摘要: 数据融合是声呐信号处理中非常引人注意的一个课题,本文讨论多传感器(或多基阵)系统决策级的数据融合问题,给出对同一参数N个独立观测资料的最佳线性数据融合算法。证明了,最佳线性数据融合的误差不大于任何一个独立观测的误差,同时给出计算误差的表达式。最后讨论测量时信噪比的影响。

     

    Abstract: Data fusion is one of the attractive topic in sonar signal processing.Decision level data fusion of multi-sensor (multi-array) system is described in this paper.The optimum linear data fusion algorithm for N independent observations is derived.It is proved that the estimation error of data fusion is not greater than that of individual components.The expression of estimation error and weight coefficients are presented.The results of numerical calculation and some examples are illustrated.The effect of signal to noise ratio for the data fusion is described.

     

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