论文标题
贝叶斯的完整性监测用于细胞定位 - 简化的案例研究
Bayesian Integrity Monitoring for Cellular Positioning -- A Simplified Case Study
论文作者
论文摘要
在简化的一维线性高斯设置中，开发了用于快照细胞定位问题的贝叶斯接收器自主完整性监测（RAIM）算法。位置估计，多故障检测和排除以及保护级别（PL）计算是通过通过沿因子图传递的消息传递的有效和精确计算后验概率来实现的。计算机模拟证明了在基线高级RAIM算法上提出的贝叶斯RAIM算法的性能改善，因为它获得了满足目标完整性风险（TIR）要求的更严格的PL。
Bayesian receiver autonomous integrity monitoring (RAIM) algorithms are developed for the snapshot cellular positioning problem in a simplified one-dimensional (1D) linear Gaussian setting. Position estimation, multi-fault detection and exclusion, and protection level (PL) computation are enabled by the efficient and exact computation of the position posterior probabilities via message passing along a factor graph. Computer simulations demonstrate the significant performance improvement of the proposed Bayesian RAIM algorithms over a baseline advanced RAIM algorithm, as it obtains tighter PLs that meet the target integrity risk (TIR) requirements.
