Accurate PPCC-Based DoA Estimation Using Multiple Calibration Planes for WSN Nodes Equipped with ESPAR Antennas

M. Groth, L. Kulas
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Abstract

In this paper, we have introduced a new direction-of-arrival (DoA) estimation method, which relies on received signal strength (RSS) values measured at the output port of electronically steerable parasitic array radiator (ESPAR) antenna and uses the power pattern cross-correlation (PPCC) estimator. In the method, we have successfully incorporated measurements of ESPAR antenna’s radiation patterns performed at multiple calibration planes within the PPCC estimator in a way easily implementable in wireless sensor network (WSN) nodes equipped with ESPAR antennas. Performed anechoic chamber measurements of our ESPAR antenna prototype indicate that the proposed approach provides much lower DoA estimation errors in a wide span of incoming signal elevation angles than other methods currently available in the literature, which makes the concept applicable in practical WSN deployment scenarios.
基于多平面ppcc的ESPAR无线传感器网络节点DoA精确估计
本文提出了一种新的到达方向(DoA)估计方法,该方法依赖于在电子操纵寄生阵列辐射(ESPAR)天线输出端口测量的接收信号强度(RSS)值,并使用功率方向图相互关系(PPCC)估计器。在该方法中,我们成功地将ESPAR天线的辐射方向图在PPCC估计器的多个校准平面上进行测量,以一种易于在配备ESPAR天线的无线传感器网络(WSN)节点中实现的方式。对ESPAR天线原型进行的暗室测量表明,与文献中现有的其他方法相比,该方法在大范围的传入信号俯角范围内提供了更低的DoA估计误差,这使得该概念适用于实际的WSN部署场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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