一种提升信号跟踪灵敏度的超紧组合算法

An Ultra-tight Integration Algorithm for Signal Tracking Sensitivity Improving

针对复杂电磁环境中,常规惯性/卫星超紧组合算法信号跟踪灵敏度有限且计算量大的问题,提出一种提升信号跟踪灵敏度的超紧组合算法。基于码、载波鉴别器原理建立超紧组合滤波器观测量计算模型,利用载噪比估计值实时估算量测噪声方差并自适应调整滤波增益,并利用超紧组合滤波器实现对载波频率、码相位的矢量跟踪。仿真实验结果表明所提出的超紧组合算法能够有效提升弱信号场景下的信号跟踪灵敏度,并有效降低超紧组合算法计算量。

An improved ultra-tight integration algorithm is proposed to solve the problem of signal tacking sensitivity limitation and computational burden for typical INS/GNSS ultra-tight integration algorithm in complex electromagnetic environment.An ultra-tight integration measurement model is modeled based on the carrier and code discrimination theory.Corresponding measurement noise variance is modeled for adaptive filter gain adjusting with real-time carrier to noise ratio estimation.A vector tracking algorithm is conducted for carrier frequency tracking and code phase tracking concurrently with ultra-tight integration estimations.Experimental results indicate that the proposed ultra-tight integration algorithm can improving signal tacking sensitivity effectively with reasonable integration accuracy in weak signal scenario,and reduce the computational burden.