state estimation
The attachment "serial_data_dvl_20240729.txt" presents the DVL sensor data collected during the experiment in this paper, including information such as timestamps, transducer data, and velocity. The line beginning with "wru" indicates the status and information of the four transducers. The four data points following "wrx" represent, in sequence, the time interval since the last data collection (in milliseconds), x-axis velocity, y-axis velocity, and z-axis velocity. The four numbers following "wrt" represent the distances from the four transducers to the seabed.
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In this brief, the distributed cubature information filtering method is proposed to solve the state estimation problem of target in passive sensor network. Firstly, the observation system model of bearing-only sensor network is established and analysised. The sensor node pairs only measure the relative angle information, and then the state estimation of the target is realized based on the DCIF algorithm.
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Conventionally, state estimation is run on reduced bus-branch (BB) network models. On the other hand, when detailed node-breaker (NB) models are used, no network reduction is necessary. This allows joint estimation of system states and network topology. For testing SE applications using NB models, an expanded version of the IEEE 300-bus system is created. The following changes are made to the original BB model to generate the NB model:
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