摘要
随着人们活动范围的日益扩大和周边环境的日益复杂,低信噪比环境下捕获卫星导航信号逐渐成为国内外研究的重点。本文分析两种常用的改善检测统计量信噪比的方法:相干累加和非相干累加,指出它们各自存在的问题。引出差分相关捕获算法,详细介绍差分相关捕获算法,分析了其数学模型。从理论上研究差分相关捕获算法的性能,并借助MATLAB仿真,分析各个参数对算法性能的影响,同时与相干/非相干累加算法进行比较。
GPS has been broadly applied in every fields of our social life. Since the environment around us has been becoming more and more complicated, the acquisition of GPS signals with low SNR gains more and more attention. This paper analyzes two common methods for improving the SNR of the test statistic： coherent integration and noncoherent integration, then points out their problems when used in low-SNR circumstance; differential correlation acquisition algorithm is introduced in detail, and its signal processing flow is modeled. With the help of MATLAB simulation, this paper investigates the effects of each parameter on the algorithm performance, and compares differential correlation acquisition algorithm with coherent / noncoherent integration algorithm.
出处
《全球定位系统》
2006年第4期1-4,共4页
Gnss World of China
关键词
GPS
低信噪比
差分相关捕获算法
GPS
low SNR
differential correlation acquisition algorithm
