ANN based DoA Estimation of the Signal Received by Two-element Textile Wearable Antenna Array

Z. Stanković, O. Pronić-Rančić, N. Dončov
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引用次数: 1

Abstract

ANN model for one-dimensional DoA estimation of the signal received by two-element textile wearable antenna array is proposed in this paper. Multilayer perceptron network is used to create the MLP_DoA module which is capable to provide information of a radio gateway location in azimuthal plane as output when a spatial correlation matrix, found by receiving the radio gateway signal using two-element textile wearable antenna array, is on its input. The noise impact on the accuracy of the proposed ANN model is investigated. Comparison of the presented model with the root MUSIC algorithm in terms of accuracy and program execution time is also demonstrated.
基于神经网络的双元纺织可穿戴天线阵列信号DoA估计
提出了一种用于二维纺织可穿戴天线阵列接收信号的一维方位估计的人工神经网络模型。采用多层感知器网络构建MLP_DoA模块,该模块在输入端为双元纺织可穿戴天线阵列接收无线电网关信号得到的空间相关矩阵时,能够输出方位平面上的无线电网关位置信息。研究了噪声对人工神经网络模型精度的影响。并与根MUSIC算法在精度和程序执行时间方面进行了比较。
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