GNSS系统中检测与判决的研究

Study on detection and decision of GNSS system

为了深入研究GNSS(global navigation satellite system)的系统检测与判决,利用概率论的相关理论对最大值捕获策略的系统检测概率、系统虚警概率和系统漏检概率进行分析和论证。针对系统检测概率低、漏检概率高的问题,提出了两种不同的解决方法,采用蒙特卡洛方法对理论进行了仿真验证。仿真结果表明,有信号时系统的虚警概率随着无信号时系统虚警概率的增加而增加,提高接收信号的载噪比和增加唐检测算法都能够明显的提高系统的检测性能,相关结论为GNSS捕获系统在实际环境中的运用提供了一定的理论依据。

To research the GNSS detects and judgment, the theory of probability theory related is used to analyze system detec- tion probability, system false alarm probability and system missed detection probability of maximum acquisition strategy. Aimed at low system detection probability and high probability of missed detection problem, two different solutions which are simulated by the Monte Carlo method are presented. The simulation results show that system false alarm probability in the presence of si- gnal increases with the increasing of the false alarm probability in the absence of signal. Increasing the received signal to noise ra- tio and adding the Tang detection algorithms are able to significantly improve the detection performance, the related conclusions provide a theoretical basis for the use of GNSS acquisition system in the actual environment.