A new sequential weighed fusion method with colored noise and time delay

Considering existing questions of the traditional synchronous fusion algorithms, e.g. assumptions of white noise and non-transmission delay produced by the influences of weather, humidity, magnetic field and communication line etc., the paper proposes an improved sequential weighted fusion algorithm, which can not only deal with colored noise but also adapt automatically the case with network-induced delay which is less than a sampling period. Performance analysis shows that proposed method has more advantages than traditional synchronous fusion methods and simulation example indicates that the two kinds of methods have uniform estimate accuracy to object state.