Research Article
Distributed Multiagent Control Approach for Multitarget Tracking
Input: predicted multi-target density , neighbouring agents and for | (1) Sampling the multi-object state space ; | (2) Compute predicted estimation: target number and state ; | (3) for do | (4) Predict based on and ; | (5) Compute single-sensor multi-target likelihood given by (8) to obtain ; | (6) end for | (7) for each do | (8) Predict based on and ; | (9) Compute single-sensor multi-target likelihood given by (8) to obtain ; | (10) Compute multi-sensor multi-target likelihood given by (10) to obtain ; | (11) Compute the value given by (9); | (12) end for | Output: |
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