Adaptive robust filtering algorithm for BDS medium and long baseline three carrier ambiguity resolution

doi:10.11947/j.AGCS.2019.20180379

Abstract

Abstract:

For classical TCAR(three carrier ambiguity resolution) algorithm is affected by ionospheric delay and measurement noise, it is difficult to reliably fix ambiguity at medium and long baselines. An improved TCAR algorithm which takes the influence of ionospheric delay into account and has good adaptive robustness is proposed. On the basis of non-geometric TCAR model, ionospheric delay is obtained by linearly combining extra-wide-lane with fixed ambiguity, and then wide-lane ambiguity is solved.Solving narrow-lane ambiguity by adaptive robust filtering by constructing optimal combination observation, which can effectively improve fixed success rate of narrow-lane ambiguity and reduce the adverse effects of gross error. Experimental results show that improved TCAR algorithm can guarantee high fixed correct rate of wide-lane ambiguity, effectively improve fixed success rate of narrow-lane ambiguity, and has good ability to resist gross error.

Key words: adaptive robust filter, Beidou, wide-lane, narrow-lane, ambiguity, TCAR

CLC Number:

P228

GAO Yangjun, LÜ Zhiwei, ZHOU Pengjin, JIA Zhengyang, ZHANG Lundong, CONG Dianwei. Adaptive robust filtering algorithm for BDS medium and long baseline three carrier ambiguity resolution[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(3): 295-302.

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