Combining data fusion with joint source-channel coding of correlated sensors
Combining data fusion with joint source-channel coding of correlated sensors
复制标题
将数据融合与相关传感器的联合源通道编码相结合
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
J. Garcia
中科院分区：
文献类型：
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作者：
W. Zhong;J. Garcia
我们考虑一个由几个相关传感器感知的源。每一个传感器接收一个噪声版本的源，执行信道编码，并通过一个独立的噪声信道传输此信息到中央处理单元。处理单元融合所有接收到的序列，目的是获得感兴趣的源的最佳可能估计。这是通过在解码器处利用图形模型来执行的，该图形模型联合描述了每个传感器的信道解码器以及源和传感器之间的概率依赖性。
We consider a source sensed by several correlated sensors. Each one of the sensors receives a noisy version of the source, performs channel coding, and transmits this information through an independent noisy channel to a central processing unit. The processing unit fuses all the received sequences with the objective of obtaining the best possible estimate of the source of interest. This is performed by utilizing at the decoder a graphical model that jointly describes the channel decoders for each sensor and the probabilistic dependence between the source and the sensors.