Details

Autor(en) / Beteiligte

• Zhibo Wen
• Henkel, P.
• Brack, A.
• Gunther, C.

Titel

Best Integer Equivariant estimation for Precise Point Positioning

Ist Teil von

• Proceedings ELMAR-2012, 2012, p.279-282

Ort / Verlag

IEEE

Erscheinungsjahr

2012

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• A key prerequisite for Precise Point Positioning (PPP) with Global Navigation Satellite Systems (GNSS) is the precise knowledge of satellite phase and code biases. This paper proposes a method, that is based on a very general measurement model with an individual phase and code bias for each receiver, satellite and frequency. We compute a recursive least-squares float solution with a Kalman filter, and a subsequent ambiguity fixed solution using Teunissen's Best Integer Equivariant (BIE) estimator. The latter one minimizes the mean squared error (MSE) and, thus, outperforms the well-known Least-squares AMBiguity Decorrelation Adjustment (LAMBDA) method. Simulation results show the achievable performance of the BIE estimator in comparison to the LAMBDA method.