BDS单历元TCAR算法优化研究  

Research of BDS Single-Epoch and Triple-Frequency Ambiguity Resolution Using the Modified TCAR Method

作　　者：谢建涛 郝金明[1] 韩聪 于合理[1] 田英国[1] 

机构地区：[1]信息工程大学 [2]65014部队

出　　处：《测绘科学技术学报》2016年第1期6-10,15,共6页Journal of Geomatics Science and Technology

摘　　要：鉴于多频导航信号对模糊度解算AR带来的巨大优势,新一代的全球卫星导航系统都对多频信号体制进行了设计。基于三频观测的经典TCAR模型由于忽略双差电离层残差影响,仅适用于短基线解算。在基于几何的TCAR模型的基础上,通过对伪距观测量以及模糊度得到固定的超宽巷EWL和宽巷WL观测量进行线性组合得到了具有最低噪声的消电离层组合观测量;并将其引入到第3步窄巷NL模糊度解算中,以提高NL模糊度解算成功率;最后结合实测北斗三频数据进行了分析验证。结果表明,优化后的TCAR模型可有效提高NL模糊度固定成功率。As the multi-frequency navigation signals bring a huge advantage for ambiguity resolution（ ambiguity resolution, AR）, multi-frequency signals in new generation of Global Navigation Satellite System are designed. As a result of ignoring the residual impact of ionosphere delay, classic TCAR（ three carrier ambiguity resolution） model based on triple-frequency observations is only suitable for short-baseline. Based on geometry-based TCAR model,optimal combinations of pseudo-range measurements, ambiguity-fixed EWL（ extra-wide-lane） and WL（ wide-lane）observations were introduced. The new combination observations were free of ionosphere delay and had lowest noise, and they were applied in the third step to improve the performance of AR. Finally verification was analyzed with BDS triple-frequency data, and the result showed that the new model was feasible.

关 键 词：北斗 三频模糊度解算 定位 电离层延迟误差 最优线性组合 

分 类 号：P228[天文地球—大地测量学与测量工程]