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基于WMN技术的道路交通检测的研究
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作者 陈翔 《计算机光盘软件与应用》 2010年第3期79-79,共1页
该文采用组合车辆定位法,详尽分析了城市交通量检测中交通流量、车速和车型、车辆占有率、交通密度和排队长度等各种指标,提出了采用无线网状网(WMN)来设计城市交通检测系统的研究方案,同时对其可行性进行了论证。
关键词 无线网状网 组合车辆定位法 无线局域网 无线自组网
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Application of interacting multiple model in integrated positioning system of vehicle
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作者 WEI Wen jun GAO Xue ze +1 位作者 GE Li rain GAO Zhong jun 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2018年第3期279-285,共7页
To solve low precision and poor stability of the extended Kalman filter (EKF) in the vehicle integrated positioning system owing to acceleration, deceleration and turning (hereinafter referred to as maneuvering) ,... To solve low precision and poor stability of the extended Kalman filter (EKF) in the vehicle integrated positioning system owing to acceleration, deceleration and turning (hereinafter referred to as maneuvering) , the paper presents an adaptive filter algorithm that combines interacting multiple model (IMM) and non linear Kalman filter. The algorithm describes the motion mode of vehicle by using three state spacemode]s. At first, the parallel filter of each model is realized by using multiple nonlinear filters. Then the weight integration of filtering result is carried out by using the model matching likelihood function so as to get the system positioning information. The method has advantages of nonlinear system filter and overcomes disadvantages of single model of filtering algorithm that has poor effects on positioning the maneuvering target. At last, the paper uses IMM and EKF methods to simulate the global positioning system (OPS)/inertial navigation system (INS)/dead reckoning (DR) integrated positioning system, respectively. The results indicate that the IMM algorithm is obviously superior to EKF filter used in the integrated positioning system at present. Moreover, it can greatly enhance the stability and positioning precision of integrated positioning system. 展开更多
关键词 VEHICLE integrated positioning system information fusion algorithm extended Kalman filter (KEF) interacting multiple model (IMM)
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