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Single Point Positioning with Sequential Least-Squares Filter and Estimated Real-Time Stochastic Model 被引量:7

Single Point Positioning with Sequential Least-Squares Filter and Estimated Real-Time Stochastic Model
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摘要 To obtain higher accurate position estimates, the stochastic model is estimated by using residual of observations, hence, the stochastic model describes the noise and bias in measurements more realistically. By using GPS data and broadcast ephemeris, the numerical results indicating the accurate position estimates at sub-meter level are obtainable. 获得更高精确的位置估计,随机的模型被估计由用观察的剩余,,因此随机的模型更写实地在大小描述噪音和偏爱。由使用 GPS 数据和广播位置推算历,在亚米水平显示精确位置估计的数字结果是可获得的。
出处 《Geo-Spatial Information Science》 2008年第1期13-16,共4页 地球空间信息科学学报(英文)
基金 Supported by the National 863 Program of China (No.2006AA12Z325) and the National Natural Science Foundation of China (No.40274005).
关键词 GPS single point positioning functional model stochastic model sequential least-square filter 最小二乘滤波 实时估计 随机模型 GPS单点定位
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