RLS-based predictor for latency compensation in DGPS

Deergha Rao K.

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RLS-based predictor for latency compensation in DGPS

机译：基于RLS的DGPS中延迟补偿的预测器

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Differential Global Positioning System (DGPS) is a technique that is frequently used to correct for selective availability (SA) induced ranging errors. However, long sampling periods and the time delay (latency) between the generation of corrections and their application by the user are a fundamental performance limitation on DGPS. A recursive least squares (RLS) based predictor is suggested to provide future values of SA for latency compensation in DGPS. The efficacy of the predictor is illustrated for different amounts of learning data and sampling rates through collected SA from operational GPS satellite

机译：差分全球定位系统（DGPS）是一种经常用于校正选择性可用性（SA）引起的测距误差的技术。但是，较长的采样周期以及用户生成和应用校正之间的时间延迟（延迟）是DGPS的基本性能限制。建议使用基于递归最小二乘（RLS）的预测器为DGPS中的延迟补偿提供SA的未来值。通过从运行中的GPS卫星收集的SA，说明了预测器对不同数量的学习数据和采样率的功效

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《IEEE Transactions on Aerospace and Electronic Systems》 |2000年第1期|p.339-343|共5页
作者
Deergha Rao K.;
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正文语种 eng
中图分类航空;
关键词
Global Positioning System; autoregressive processes; delay estimation; error compensation; least squares approximations; prediction theory; recursive estimation; DGPS; RLS-based predictor; autoregressive model; latency compensation; learning data; operational GPS sa;

机译：全球定位系统;自回归过程;时延估计;误差补偿;最小二乘近似;预测理论;递归估计;DGPS;基于RLS的预测器;自回归模型;延迟补偿;学习数据;可操作GPS sa;

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RLS-based predictor for latency compensation in DGPS

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