高分辨率罗兰C天波延迟估计新技术

提出了一种基于特征分解的多信号分类算法估计罗兰C接收机天波延迟的信号处理新技术。它为接收机基准点的实时设置提供了一种新方法。常规接收机为了防止天波干扰，将基准点设置在一个固定位置上，导致基准点处信噪比受包络限制而较低，从而大大增加了对准基准点的时间。利用这项技术，我们在低信噪比条件下分离出了地波和天波的到达时刻。这就使得接收机能根据天波延迟变化实时选择基准点最佳位置，并能利用地波到达时刻进行周期选择。由于此法有助于增加基准点处的信噪比，减少对准基准点的时间，因而能极大地提高现有罗兰C接收机的性能。还显示了新方法较IFFF方法有更高的分辨率。

Novel High Resolution Technique for Loran-C Skywave Delay Estimation

A novel signal processing technique using the eigendeeomposifion and multiple signal dassifieafion algorithm for estimating skywave delays in Loran - C receiver has been presented in this paper. It offers a new method to set datum - mark in real - time for receiver. Common Loran - C receiver employs a freed datum - mark in order to avoid interference caused by skywave, as SNR is often poor at this point due to amplitude limit of pulse envelope, so it greatly increases time to track the datum - mark. Based on this technique, it gets the arrival time of groundwave and skywave separately in poor SNR, it enables receiver to adjust the datum - mark automatically according to varying delays of skywave in real - time, and to resolve cycle ambiguity by reference to arrival time of greundwave. This technique increases SNR and decreases time to track the datum mark, so it improves the performance of Loran - C receiver enormously. This technique has also been shown to out - perform the IFFT algorithm in terms of resolution.