创新标志——粒子滤波在自组织噪声二值WSN中的跟踪性能研究

F. Aounallah, R. Amara, M. Turki-Hadj Alouane
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引用次数: 0

摘要

本文研究了二进制无线传感器网络(WSN)中的目标跟踪问题。特别地,我们提出研究创新符号粒子滤波(SOI-PF)算法在噪声环境下的性能。该算法在高度非线性和无噪声的框架下,基于传感器之间瞬间交换1位的并行算法,显示了其对目标跟踪的有效性。为了提出的目的,我们认为传感器之间的通信是通过噪声和衰落信道进行的,从而将研究置于现实的通信环境中。在我们的例子中,主要的困难是传感器不能接收到相同的观测,因为一对传感器之间的通信通道不同。通过详尽的仿真,我们注意到SOI-PF在信噪比大于15dB的情况下保持了良好的跟踪能力。对于低于此值的信噪比,我们通过分配固定传感器来执行选择主动传感器的调度任务,成功地提高了SOI-PF的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of Sign Of Innovation - Particle Filter tracking performance in ad hoc noisy binary WSN
This paper deals with target tracking in a binary Wireless Sensor Network (WSN) context. In particular, we propose to study the performance of the Sign Of Innovation Particle Filter (SOI-PF) algorithm in a noisy context. This parallel algorithm based on the exchange of only one bit by instant between the sensors, has shown its efficiency for target tracking in a highly non linear and noiseless framework. For the proposed purpose we consider that the communication between sensors is done via noisy and fading channels, thereby placing the study in a realistic communication context. The major difficulty in our case is that the sensors don't receive the same observation since the communication channel differ from a pair of sensors to an other. Based on exhaustive simulations, we notice that the SOI-PF preserve its good tracking ability for Signal to Noise Ratio (SNR) value upper than 15dB. For SNR below this value, we succeed to improve the SOI-PF's performance by assigning a fixed sensor to perform the scheduling task for selecting the active sensors.
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