基于均匀线性天线阵LSTM神经网络的DOA估计

T. Trong, Ngo Duc Nam, Tran Van Hung
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引用次数: 0

摘要

无线电测向系统是一种确定无线电信号源方向或坐标的系统。该系统的主要功能是确定入射无线电波的到达方向(DOA)。DOA信息在阵列信号处理中起着重要的作用,在通信、雷达、地震勘探等领域有着广泛的应用。本文利用在线性天线阵列(ULA)处获得的仿真信号数据集,采用长短期记忆(LSTM)网络模型估计DOA。基于RMSE参数评价了该方法的性能,并与MUSIC、DNN算法在辐射源入射角偏差、信噪比(SNR)等不同情况下的性能进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DOA Estimation Based on LSTM Neural Network with Uniform Linear Antenna Array
Radio Direction Finding system is a system that determines the direction or coordinates of radio signal sources. The main function of this system is to determine the direction of arrival (DOA) of an incident radio wave. DOA information plays an important role in array signal processing and has many applications in communications, radar, seismic survey... In this paper, with the simulated signal data set obtained at the linear antenna array (ULA), the Long Short-Term Memory (LSTM) network model is used to estimate the DOA. The performance of the method is evaluated based on the RMSE parameter and compared with MUSIC, DNN algorithms in different cases such as: deviation of incident angle of radiation sources, signal-to-noise ratio (SNR).
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