Data Fusion in Distributed Multi-sensor System
摘要
This paper presents a data fusion method in distributed multi-sensor system including GPS and INS sensors' data processing. First, a residual χ2-test strategy with the corresponding algorithm is designed. Then a coefficient matrices calculation method of the information sharing principle is derived. Finally, the federated Kalman filter is used to combine these independent, parallel, real-time data. A pseudolite (PL) simulation example is given.
引用本文（GB/T 7714）
GUOHang, Yumin. Data Fusion in Distributed Multi-sensor System[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2004.
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