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机构地区:[1]上海海事大学信息工程学院,上海201306 [2]上海海事大学,上海201306
出 处:《微型机与应用》2017年第13期66-69,共4页Microcomputer & Its Applications
摘 要:当今社会,越来越多的不确定性噪声在城市中出现,这些噪声会被掺杂到有效的卫星信号中,造成信号的捕获失败。许多算法中设定的噪声比较固定,没有考虑到每个地方噪声变化的情况。文中基于快速傅里叶变换的并行捕获技术,结合前差分技术和相干积分,尝试消除这种不确定影响。其次,在此基础上进行各种噪声下的仿真,寻求捕获的判决门限的合理值。通过仿真表明,该算法可以有效地捕获卫星信号,并减少了计算的复杂度。In the current society, there is more and more uncertainty noise in the city. These noise can be incorporated into the effective satellite signal, failing to capture signal. The intensity of.noise is fixed in many algorithms, which do not consider the situation that noise is variable. This paper is based on the parallel acquisition technique of Fast Fourier Transform, combined with the previous difference technique and coherent integration, to eliminate uncertainty effect. In addition, under the various noise, the reasonable value of the decision threshold has been obtained. The simulation results show that the algorithm can effectively capture the satellite signal and reduce the computational complexity.
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