摘要
信号的捕获是GPS软件接收机在处理信号时的核心一步,在室内、隧道这种信号较弱的环境中进行捕获信号渐渐成为研究GPS软件接收机的热点。本文推导了弱信号环境的捕获算法并且分析了其性能,分析了相干累积算法、非相干累积算法和差分相干累积算法的增益性能,分别检测了其模型的性能,对这三种算法在SNR=-25dB的信噪比环境下进行仿真。仿真结果显示:这三种算法中,处理增益最好的是差分相干累积算法,该算法较其他两种算法更适用于捕获在信噪比比较低的环境下的信号。
Signal acquisition is the most important step of the all GPS signal processing.At present more and more field are closely related to the use of the satellite navigation system especially the signals which under the low SNR environment that is becoming more and more hotpot.It establish the GPS weak signal acquisition algorithms models,then analyzes the processing gain of algorithms effect.The classic GNSS weak signal acquisition algorithms including the coherent integration,non-coherent integration and the differential coherent integration which are putted forward detailed.It also analysis not only the three algorithms which about the processing gain but also the detection performance of the algorithms.The three simulations show that the best acquisition algorithms is the differential coherent integration,which can apply to weak signal acquisition more better.
出处
《全球定位系统》
CSCD
2015年第4期8-13,共6页
Gnss World of China
基金
黑龙江省自然科学基金(编号:F201349)
关键词
捕获
相干累积
非相干累积
差分相干累积
信噪比
检测性能
Acquisition algorithms
coherent integration
non-coherent algorithm
differential coherent algorithm
processing gain
detection performance
