ARMA模型在变形监测中的应用

介绍了时间序列分析模型ARMA进行模型识别、参数估计、模型检验和模型预测及其在变形监测数据处理中的应用。并结合某一工程实例,采用该模型对一组实测变形数据进行了分析、预测,取得了较好的数据拟合与预测效果,该模型对变形监测数据处理与预报是十分可靠和可行的,具有很强的实际应用价值。     

A closed-loop EKF and multi-failure diagnosis approach for cooperative GNSS positioning

Current cooperative positioning with global navigation satellite system (GNSS) for connected vehicle application mainly uses pseudorange measurements. However, the positioning accuracy offered cannot meet the requirements for lane-level positioning, collision avoidance and future automatic driving, which needs real-time positioning accuracy of better than 0.5 m. Furthermore, there is an apparent lack of research into the integrity issue for these new applications under emerging driverless vehicle applications. In order to overcome those problems, a new extended Kalman filter (EKF) and a multi-failure diagnosis algorithm are developed to process both GNSS pseudorange and carrier phase measurements. We first introduce a new closed-loop EKF with partial ambiguity resolution as feedback to address the low accuracy issue. Then a multi-failure diagnosis algorithm is proposed to improve integrity and reliability. The core of this new algorithm includes using Carrier phase-based Receiver Autonomous Integrity Monitoring method for failure detection, and the double extended w test detectors to identify failure. A cooperative positioning experiment was carried out to validate the proposed method. The results show that the proposed closed-loop EKF can provide highly accurate positioning, and the multi-failure diagnosis method is effective in detecting and identifying failures for both code and carrier phase measurements.     

Is the long-term variation of the estimated GPS differential code biases associated with ionospheric variability?

The global positioning system (GPS) differential code biases (DCB) provided by the International GNSS Service (IGS) show solar-cycle-like variation during 2002–2013. This study is to examine whether this variation of the GPS DCBs is associated with ionospheric variability. The GPS observations from low earth orbit (LEO) satellites including CHAMP, GRACE and Jason-1 are used to address this issue. The GPS DCBs estimated from the LEO-based observations at different orbit altitudes show a similar tendency as the IGS DCBs. However, this solar-cycle-like dependency is eliminated when the DCBs of 13 continuously operating GPS satellites are constrained to zero-mean. Our results thus revealed that ionospheric variation is not responsible for the long-term variation of the GPS DCBs. Instead, it is attributed to the GPS satellite replacement with different satellite types and the zero-mean condition imposed on all satellite DCBs.     

泥河湾侯家窑遗址古河流及环境考古意义

侯家窑遗址位于泥河湾盆地西北部,自发现至今,历经40余年,但遗址年代和古人类生存环境问题仍悬而未决。本文基于地质地貌观测、电阻率测深、高程测量等工作,试图通过遗址区地层结构和古河流发育情况研究,阐释上述问题。结果如下:①伴随着泥河湾古湖的快速萎缩,在侯家窑遗址区发育了一条源自北部熊耳山、宽逾1 km的古河流。它形成于240 ka B.P.前,消亡于晚更新世初,发育历史贯穿了侯家窑古人类生存阶段的始终。②遗址古文化遗存不是埋藏在湖相泥河湾层中,而是埋藏于距今约224~161 ka的牛轭湖沉积层和壤化黏土层内,表明古人类在此倚河而居长达6万年。③遗址区面向东南的宽阔圈椅状地形,为古人类生存造就了相对温和舒适的地理环境;古河流既为古人类提供了水源,良好的流域生态环境也给古人类提供了富足的食物;熊耳山既是古河流源地,也是优质石料产地,古河流将石料搬运至遗址附近,石器制作便利。因此,在寒冷气候条件下生活的古人类,选择生境较好的侯家窑遗址区倚河而居势成必然。④遗址区古河流发育在易遭侵蚀的泥河湾湖相沉积层之上,河水泥沙含量高、浑浊,唯有遗址附近的牛轭湖区水流缓滞、清澈,而且植物繁茂,是各类动物优先猎食和饮水的地方。但牛轭湖独特的地貌特点,使动物们在急迫情况下难以逃脱,古人类此地围猎,远较他地成功率高。