Svečko Janja, Malajner Marko, Gleich Dušan
Margento R&D, Gosposvetska 84, Maribor, Slovenia.
Faculty of Electrical Engineering and Comupter Science, University of Maribor, Slovenia.
ISA Trans. 2015 Mar;55:275-85. doi: 10.1016/j.isatra.2014.10.003. Epub 2014 Nov 14.
This paper presents a particle filter algorithm for distance estimation using multiple antennas on the receiver's side and only one transmitter, where a received signal strength indicator (RSSI) of radio frequency was used. Two different placements of antennas were considered (parallel and circular). The physical layer of IEEE standard 802.15.4 was used for communication between transmitter and receiver. The distance was estimated as the hidden state of a stochastic system and therefore a particle filter was implemented. The RSSI acquisitions were used for the computation of important weights within the particle filter algorithm. The weighted particles were re-sampled in order to ensure proper distribution and density. Log-normal and ground reflection propagation models were used for the modeling of a prior distribution within a Bayesian inference.
本文提出了一种用于距离估计的粒子滤波算法，该算法在接收端使用多个天线且仅使用一个发射机，并采用了射频接收信号强度指示符（RSSI）。考虑了天线的两种不同布局（平行和圆形）。发射机与接收机之间的通信采用IEEE标准802.15.4的物理层。距离被估计为一个随机系统的隐藏状态，因此实现了一个粒子滤波器。RSSI采集用于在粒子滤波算法中计算重要权重。对加权粒子进行重采样，以确保适当的分布和密度。对数正态和地面反射传播模型用于贝叶斯推理中先验分布的建模。
