Hui-dong Guo

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Due to the reasons of sensors in itself and the communication delays, the research of the asynchronous multisensor data fusion problem is more practical than that of synchronous sensors. Based on minimizing the trace of the fusion error covariance, the asynchronous multisensor data fusion algorithm is presented. The multisensor track fusion is valid for(More)
Bias registration is the prerequisite of data fusion. The constant bias can be estimated efficiently by two-stage Kalman filtering. An algorithm is proposed which includes the asynchronous sensor fusion models and spatial registration with feedback mechanism. In bias-free stage, the multisensor asynchronous fusion is employed to compensate the asynchronous(More)
The landfill of municipal solid waste (MSW) could be regarded as denitrification reactor and involved in ammonia nitrogen biological removal process. In this research, the process was applied to municipal solid waste collected in Shanghai, China, which was characterized by high food waste content. The NH4(+) removal efficiency in the system of SBR(More)
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