ELoran Receiver Sky-ground Wave Recognition Based on MUSIC Algorithm

Yaru Zhao, Yanwei Sun, P. Huang
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Abstract

In view of the fact that the conventional eLoran receiver sky-ground wave recognition method can not effectively utilize the signal energy, according to the characteristics of the eLoran sky-ground wave frequency domain signal mathematical model, a sky-ground wave recognition method based on multiple signal classification (MUSIC) algorithm is proposed. This method converts the problem of time delay estimation into the problem of spectrum estimation, and then uses the MUSIC algorithm with high spectral resolution to realize the super-resolution estimation of eLoran sky-ground wave time delay. The feasibility of time delay estimation based on single measurement data is analyzed. The performance of MUSIC algorithm applied to single measurement data is simulated and tested. Simulation results show that the proposed method has super resolution capability for eLoran sky wave time delay estimation.
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基于MUSIC算法的ELoran接收机天地波识别
针对传统eLoran接收机天地波识别方法不能有效利用信号能量的问题,根据eLoran天地波频域信号数学模型的特点,提出了一种基于多信号分类(MUSIC)算法的天地波识别方法。该方法将时延估计问题转化为频谱估计问题,然后利用高光谱分辨率的MUSIC算法实现eLoran天地波时延的超分辨率估计。分析了基于单一测量数据的时延估计的可行性。对MUSIC算法应用于单个测量数据的性能进行了仿真和测试。仿真结果表明,该方法对eLoran天波时延估计具有超分辨能力。
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