一种新的最优降维加权融合白噪声估计方法

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI:10.1109/ICCWAMTIP.2014.7073366

Xiaojun Sun, G. Yan, Bo Zhang

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引用次数: 0

摘要

针对具有相关噪声的多传感器线性离散时不变系统，提出了一种降维加权测量融合算法。在此基础上，给出了一种最优的降维加权测量融合白噪声反褶积估计方法。它的计算负担大大减少。对输入白噪声为伯努利-高斯噪声的三传感器系统进行了仿真，验证了该方法的有效性。

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A new optimal reduced dimension weighted fusion white noise estimator

For the multisensor linear discrete time-invariant systems with correlated noises, a reduced dimension weighted measurement fusion algorithm is presented. Furthermore, an optimal reduced dimension weighted measurement fusion white noise deconvolution estimator is given. Its computational burden is greatly reduced. A simulation example for a 3-sensor system with Bernoulli-Gaussian input white noise shows its effectiveness.

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2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)

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