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Ridge regression processing
| 题名： | Ridge regression processing |
| 作者： | Kuhl, Mark R. |
| 关键词： | processing；ress；idge；measurement；integrity；precision；gdop；geometry；criterion；signal |
| 摘要： | Current navigation requirements depend on a geometric dilution of precision (GDOP) criterion. As long as the GDOP stays below a specific value, navigation requirements are met. The GDOP will exceed the specified value when the measurement geometry becomes too collinear. A new signal processing technique, called Ridge Regression Processing, can reduce the effects of nearly collinear measurement geometry; thereby reducing the inflation of the measurement errors. It is shown that the Ridge signal processor gives a consistently better mean squared error (MSE) in position than the Ordinary Least Mean Squares (OLS) estimator. The applicability of this technique is currently being investigated to improve the following areas: receiver autonomous integrity monitoring (RAIM), coverage requirements, availability requirements, and precision approaches. |
| 报告类型： | 科技报告 |
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