ESTIMATION AND MITIGATION OF GPS MULTIPATH INTERFERENCE USING ADAPTIVE FILTERING
| Autor: | Kamatham Yedukondalu, V. Satya Srinivas, A. D. Sarma |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Recursive least squares filter
Multipath interference business.industry Computer science Condensed Matter Physics Electronic Optical and Magnetic Materials Least mean squares filter Reduction (complexity) Adaptive filter Control theory Global Positioning System Antenna (radio) business Multipath propagation |
| Zdroj: | Progress In Electromagnetics Research M. 21:133-148 |
| ISSN: | 1937-8726 |
| DOI: | 10.2528/pierm11080811 |
| Popis: | Estimation and mitigation of multipath error improves the positional accuracy of GPS. The objective of this paper is to estimate the efiect of multipath interference at the receiver antenna based on both code and carrier phase measurements using Code minus Carrier (CMC) technique, and suggest a suitable method to mitigate it for static applications. Difierent adaptive fllters such as Least Mean Squares (LMS) and various Recursive Least Squares (RLS) are considered to mitigate the error. The estimated multipath error for a typical signal is 0.8m and 2.1m on L1 and L2 carriers, respectively. The results due to adaptive flltering methods are encouraging and signiflcant reduction of error (cm level) is observed. It is found that, when compared with experimental static dual frequency GPS receiver data, LMS and RLS fllters give better error minimization on L1 and L2, respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|