摘要
随着北斗全球定位卫星系统的逐步完善和GPS等卫星系统的更新换代,卫星接收机的灵敏度需求也逐渐提高,而导航信号的微弱性和卫星与接收机之间的相对运动导致现有的卫星接收机高灵敏度跟踪算法的精度无法满足需求。针对这种情况,提出了一种基于粒子滤波的高灵敏度高动态跟踪算法。该算法利用粒子滤波对跟踪环路的各个因子进行修正,并在信号强度和动态应力自适应辅助调节下,实现高精度的接收机高灵敏度跟踪。该算法可以有效降低加加速度对跟踪环路的影响,对突发动态性改变具有较好的跟踪性能。将文中所提出的方法与现有的多种跟踪算法从估计准确度、动态性能和载噪比影响三方面进行分析对比,结果表明新算法相比于现有的跟踪算法能有效提高了接收机的估计准确度和动态性能,并降低载噪比的影响。
With the gradual improvement of the Bei Dou satellite global positioning system and the upgrading of GPS and other satellite systems,the sensitivity of satellite receiver is also increased gradually. Weakness of navigation signals and relative motion between the satellite and the receiver are the main factors that hamper the satellite receiver sensitivity improvement. In view of this situation,we present a high sensitivity,high dynamic tracking algorithm based on particle filter algorithm. On the basis of the traditional tracking loop,through the analysis of the various factors affecting the performance of the loop,with the adaptive regulation of signal strength and dynamic stress,the algorithm adjusts the parameter of the tracking loop combined with particle filter estimates. Simulation results show that the proposed algorithm,compared with fixed bandwidth algorithm and existing adaptive bandwidth algorithm,can effectively improve the sensitivity and dynamic of tracking receiver.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2016年第2期268-274,共7页
Journal of Northwestern Polytechnical University
基金
国家自然科学基金(61101102
61473308)
中央高校基本科研业务费(31020152Y040)资助
关键词
高动态
高灵敏度
粒子滤波
跟踪
algorithms
computer simulation
Doppler effect
efficiency
errors
estimation
forecasting
iterative methods
mathematical models
Monte Carlo methods
navigation
optimization
random variables
signal receivers
signal to noise ratio
target tracking
tracking（position）
high dynamic
high sensitivity
particle filter
