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首页> 外文期刊>IEEE Transactions on Signal Processing >Convergence of a Class of Decentralized Beamforming Algorithms
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Convergence of a Class of Decentralized Beamforming Algorithms

机译:一类分散波束成形算法的收敛性

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摘要

One of the key issues in decentralized beamforming is the need to phase-align the carriers of all the sensors in a wireless sensor network. Recent work in this area has shown the viability of certain methods that incorporate single-bit feedback from a beacon. This paper analyzes the behavior of the method (showing conditions for convergence in distribution and also giving a concrete way to calculate the final distribution of the convergent ball) and then generalizes the method in three ways. First, by incorporating both negative and positive feedback it is possible to double the convergence rate of the algorithm without adversely effecting the final variance. Second, a way of reducing the amount of energy required (by reducing the number of transmissions needed for convergence) is shown; its convergence and final variance can also be conveniently described. Finally, a wideband analog is proposed that operates in a decentralized manner to align the time delay (rather than the phase) between sensors.
机译:分散波束成形中的关键问题之一是需要对无线传感器网络中所有传感器的载波进行相位对准。该领域的最新工作表明,某些方法结合了信标的单比特反馈的可行性。本文分析了该方法的行为(显示了分布收敛的条件,并给出了计算收敛球最终分布的具体方法),然后对该方法进行了三种概括。首先,通过合并负反馈和正反馈,可以使算法的收敛速度加倍,而不会对最终方差产生不利影响。其次,展示了一种减少所需能量的方法(通过减少收敛所需的传输次数)。还可以方便地描述其收敛性和最终方差。最后,提出了一种宽带模拟,该宽带模拟以分散方式进行操作,以对齐传感器之间的时间延迟(而不是相位)。

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