Variable-weight Data Fusion from Active and Passive Radars for Target Tracking

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Provided by: Academy Publisher
Topic: Data Management
Format: PDF
Target tracking is usually performed by non-homogenous radars and each radar carries a considerable amount of target state information. A variable-weight state vector data fusion algorithm from active and passive radars is introduced to the target tracking system. Each radar adopts variable weight coefficient in the data fusion process instead of traditional invariable-weight method ignoring random errors caused by target distance. Simulation shows that the variable-weight data fusion algorithm has a good tracking performance and stability when random errors caused by target distance are relative large and cannot be ignored.
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