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机构地区:[1]海军工程大学导航工程系,湖北武汉430033 [2]海军工程大学兵器工程系,湖北武汉430033
出 处:《计算机仿真》2006年第7期295-298,共4页Computer Simulation
摘 要:该文提出了一种基于特征分解和多信号分类算法估计罗兰C无线电导航接收机天波延迟的新技术。它的创新处在于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。该文设计出一种估计天波延迟的高效处理方法,在低信噪比条件下分离出了地波和天波的到达时刻。进而设计出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的新型接收机。由于此法可以用于增加基准点处的信噪比,减少了对准基准点的时间,因而能极大地提高现有罗兰C接收机的性能。该文最后还给出了实现此技术的硬件框图。This paper offers a novel technique for estimating the Loran - C skywave delays. The technique is based on eigendecomposition and multiple signal classification algorithms. The novelty lies in a new method whieh sets the datum - mark in real - time for the receiver. As we known, common Loran - C receiver employs a fixed da- tum - mark in order to avoid interference caused by skywave, as the SNR is often poor at this point due to the amplitude limit of the pulse envelope, so it greatly increases time for tracking the datum - mark. We design an efficient measurement to estimate the skywave delays, and get the arrival time of groundwave and skywave separately in poor SNR. Based on this technique, we design a new Loran - C receiver. It can adjust the datum - mark automatically to optimal position according to the varying delays of skywave in real -time, and can resolve cycle ambiguity by referencing the arrival time of groundwave. The technique increases the SNR and decreases the time for tracking datum mark, so it improves the performance of Loran - C receiver enormously. At the end of this paper, a frame for realizing this technique is presented.
分 类 号:TN911.4[电子电信—通信与信息系统]
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