Distributed uncorrelated optimal fusion algorithm for multisensor system

Xue-bo Jin, You Sun
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Abstract

The distributed uncorrelated optimal fusion algorithm is received by avoiding computing correlated estimation covariance based on the matrix operation. Compared with classical multisensor distributed suboptimal algorithm and optimal fusion algorithm, this algorithm can adapt to the system with more than three sensors and has the advantages of the count capacity because it has no use for saving and computing the middle variable. Simulations show the developed-algorithm has an excellent-estimation performance.
多传感器系统的分布式不相关最优融合算法
避免了基于矩阵运算的相关估计协方差计算,得到了分布式不相关最优融合算法。与经典的多传感器分布式次优算法和最优融合算法相比,该算法可以适应具有三个以上传感器的系统,并且由于不需要保存和计算中间变量,具有计数容量大的优点。仿真结果表明,该算法具有良好的估计性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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