Naive Beamforming for Multi-Element Antenna GNSS Receiver

I. Korogodin
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引用次数: 2

Abstract

Antenna array beamforming is a useful technique for GNSS receivers for signal-to-noise improvement and multipath and interference mitigation. Any conventional beamforming algorithm implementation is complicated. The algorithm adds together different antenna signals with expected weights. To calculate the weights, it requires antenna elements' RP calibrations, receiver attitude determination and wide data channels between the CRPA and the receiver. A naive beamforming approach is described in this paper. It doesn't calculate expected weights for the desired beamforming direction. The algorithm directly estimates phase differences of the signals and use the estimations to focus them. As result, the proposed algorithm doesn't have the described disadvantages of the regular beamforming. Experimental results are presented. The used mock-up is based on a seven-element L1-band convex antenna array and a Xilinx Zynq-based navigation receiver. It is shown by the experiments, that beamforming allows to increase channel SNR about 7–8 dB. As result, root-mean-square pseudorange errors decrease 2-2.5 times.
多单元天线GNSS接收机的朴素波束形成
天线阵列波束形成是GNSS接收机改善信噪比、减少多径和干扰的一种有用技术。任何传统的波束形成算法实现都是复杂的。该算法将具有期望权值的不同天线信号相加。为了计算权值,需要对天线单元进行RP校准,确定接收机姿态,并在CRPA和接收机之间建立宽数据通道。本文介绍了一种朴素波束形成方法。它不计算期望波束形成方向的期望权重。该算法直接估计信号的相位差,并利用估计的相位差对信号进行聚焦。因此,该算法没有常规波束形成的缺点。给出了实验结果。所使用的模型是基于7单元l1波段凸天线阵列和基于Xilinx zynq的导航接收器。实验结果表明,波束形成可使信道信噪比提高约7 ~ 8 dB。结果,均方根伪距误差降低了2-2.5倍。
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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