Research Article
Multitarget Tracking with Spatial Nonmaximum Suppressed Sensor Selection
Algorithm 1
SMC sequential multisensor multi-Bernoulli filter.
Prediction: | Input: | (1) for Survival targets: do | (2) for , sample , compute weight and normalization | (3) compute | (4) end for | (5) for newborn targets: do | (6) for , sample , compute weight and normalization | (7) compute , | (8) end for | Output: | Update: | Input: , candidate sensors located at with observation set | (1) for do | (2) for Legacy targets: do | (3) compute and normalization , compute pseudo-likelihood | (4) compute , | (5) end for | (6) for do | (7) for Measurement-updated targets: do | (8) compute and normalization , compute pseudo-likelihood | (9) compute , | (10) end for | (11) end for | (12) | (13) end for | Output: |
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