基于RSS二次曲线拟合的AOA定位算法

发布时间：2018-05-05 18:33

本文选题：信号强度 + 到达角度　；参考：《计算机应用研究》2017年06期

【摘要】：许多无线定位应用通过旋转方向天线推测无线信号的到达角度(angle of arrival,AOA),但该类方法在稀疏抽样和复杂环境中定位精度不高。方向天线波瓣曲线的还原实验表明,最大接收信号强度(received signal strength,RSS)附近的波瓣曲线与二次曲线近似。根据这一事实,提出了一种基于RSS二次曲线拟合的AOA定位算法。该算法利用最大RSS附近的数据拟合出二次曲线方程,通过曲线方程的最值点估测AOA。实验结果表明,该算法能够在稀疏抽样和复杂环境中保持良好的定位精度;真实环境实验的平均角度和定位误差分别为2.5°和0.28 m;相比RAL定位算法,其角度和定位精度均提高了70%。
[Abstract]:In many wireless localization applications, the angle of arrival of wireless signals is estimated by rotating direction antenna, but the accuracy of this method is not high in sparse sampling and complex environments. The reduction experiment of directional antenna lobe curve shows that the lobe curve near the received signal received signal intensity is similar to the conic curve. According to this fact, a AOA location algorithm based on RSS conic fitting is proposed. In this algorithm, the conic equation is fitted from the data near the maximum RSS, and the AOA is estimated by the maximum point of the curve equation. The experimental results show that the algorithm can maintain good positioning accuracy in sparse sampling and complex environments, and the average angle and positioning error of real environment experiments are 2.5 掳and 0.28 m, respectively. Compared with the RAL algorithm, both the angle and the positioning accuracy are improved 70%.
【作者单位】：温州大学物理与电子信息工程学院;
【基金】：国家自然科学基金资助项目(61303211) 浙江省自然科学基金资助项目(LQ13F020010) 浙江省教育厅科研项目(Y201223581) 温州大学研究生创新基金研究项目(3162014038)
【分类号】：TN929.5;TP212.9

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