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首页> 外文期刊>IEEE Transactions on Signal Processing >Distributed Affine Projection Algorithm Over Acoustically Coupled Sensor Networks
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Distributed Affine Projection Algorithm Over Acoustically Coupled Sensor Networks

机译:声耦合传感器网络上的分布式仿射投影算法

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摘要

In this paper, we present a distributed affine projection (AP) algorithm for an acoustic sensor network where the nodes are acoustically coupled. Every acoustic node is composed of a microphone, a processor, and an actuator to control the sound field. This type of networks can use distributed adaptive algorithms to deal with the active noise control (ANC) problem in a cooperative manner, providing more flexible and scalable ANC systems. In this regard, we introduce here a distributed version of the multichannel filtered-x AP algorithm over an acoustic sensor network that it is called distributed filtered-x AP (DFxAP) algorithm. The analysis of the mean and the mean-square deviation performance of the algorithm at each node is given for a network with a ring topology and without constraints in the communication layer. The theoretical results are validated through several simulations. Moreover, simulations show that the proposed DFxAP outperforms the previously reported distributed multiple error filtered-x least mean square algorithm.
机译:在本文中,我们提出了一种声学传感器网络的分布式仿射投影(AP)算法,其中节点以声学方式耦合。每个声学节点都由麦克风,处理器和致动器来控制声场。这种类型的网络可以使用分布式自适应算法以协作方式处理主动噪声控制(ANC)问题,从而提供更灵活和可扩展的ANC系统。在这方面,我们在这里介绍一种在声传感器网络上的多通道已过滤x AP算法的分布式版本,该算法称为分布式已过滤x AP(DFxAP)算法。对于具有环形拓扑并且在通信层中没有约束的网络,给出了该算法在每个节点处的均值和均方差性能的分析。理论结果通过几个仿真得到了验证。此外,仿真表明,提出的DFxAP优于先前报道的分布式多重误差滤波x最小均方算法。

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