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Distributed estimation scheme based on cooperative communication in wireless sensor networks

机译:无线传感器网络中基于协作通信的分布式估计方案

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In the distributed estimation of an unknown source in wireless sensor networks, the observations are transmitted through fading channels. Thus channel fading influences the estimation distortion significantly. Recently, cooperative communication has been proposed to combat channel fading by providing multiple independently fading paths. In this letter, the authors use cooperative communication to decrease estimation distortion. First, they propose a distributed estimation scheme with amplify-and-forward cooperation strategy. To minimise distortion, the optimal power allocation of the individual node transmission power is studied, in which the maximum number of active sensor nodes is limited so as to restrict slot overhead. The optimal solution and a sub-optimal solution with less computation overhead are given. Numerical results show that, the proposed scheme could achieve a lower estimation distortion even in the case of using fewer slots, when compared with the conventional estimation scheme with non-cooperative transmission. They also show that our scheme could achieve full estimation diversity.
机译:在无线传感器网络中未知源的分布式估计中,观测值是通过衰落信道传输的。因此,信道衰落显着影响估计失真。近来,已经提出了通过提供多个独立的衰落路径来对抗信道衰落的协作通信。在这封信中,作者使用协作通信来减少估计失真。首先,他们提出了一种具有放大转发合作策略的分布式估计方案。为了最小化失真,研究了单个节点传输功率的最优功率分配,其中限制了活动传感器节点的最大数量,以限制时隙开销。给出了具有较少计算开销的最优解和次优解。数值结果表明,与不带协作传输的传统估计方案相比,即使在使用较少时隙的情况下,该方案也可以实现较低的估计失真。他们还表明,我们的方案可以实现完整的估计分集。

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