Three-Dimensional Direction Finding of Radio Sources in Low SNR Environments
Three-Dimensional Direction Finding of Radio Sources in Low SNR Environments
复制标题
低信噪比环境下无线电源三维测向
DOI：
10.1109/atc55345.2022.9942977
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Van Long Do
中科院分区：
文献类型：
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作者：
Manh Linh Nguyen;T. B. Nguyen;Duc Phu Phung;Van Long Do
研究了低信噪比环境下三维空间的波达方向（DOA）估计问题。所提出的解决方案利用了Isolog-3D天线与先进的信号处理技术，以解决在3D空间（DF-3D）问题的方向发现。标准DF-3D解决方案已被证明在低SNR场景中由于大的功率估计误差而无效地工作。为了解决这个问题，本文提出了一种简单而有效的方法来减少DOA估计误差。通过将幅度校正算法与标准卡尔曼滤波器相结合，减小了DOA估计误差。幅度校准有助于消除功率估计中的偏置误差，而卡尔曼滤波器消除DOA估计中的随机噪声。理论和仿真结果表明了该方法的有效性。
This paper deals with the direction-of-arrival (DOA) estimation problem in three-dimensional (3D) space in low signal-to-noise ratio (SNR) environments. The proposed solution utilizes an Isolog-3D antenna with advanced signal processing techniques for solving direction finding in 3D space (DF-3D) problem. Standard DF-3D solutions have been shown to work ineffectively in low SNR scenarios due to large power estimation errors. For solving this problem, we propose in this paper a simple but effective method for reducing DOA estimation errors. The reduction of DOA estimation errors is obtained by combining an amplitude calibration algorithm with the standard Kalman filter. The amplitude calibration helps in removing bias errors in power estimation while the Kalman filter alleviates random noises in DOA estimation. Theoretical and simulation results have been shown for demonstrating the effectiveness of the proposed solution.