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Hence, transmission with low detection probability is very important in an untrustworthy network.
In the situation with low detection probability, the state transition point can be correctly estimated by adjusting sensing duration.
Among the three filters, the proposed filter is the best at tracking multiple targets in cases of low detection probability.
Moreover, it can accurately estimate the target state and the target number with low detection probability under the multitarget tracking circumstance.
To track multiple targets in the case of low detection probability and to handle received measurements in real time, we propose a sequential measurement-driven Bayesian filter.
Simulation results show that this filter tracks multiple targets better than the PHD and CPHD filters given a low detection probability of the target.
Similar(40)
Estimating population size with traditional tools such as mark recapture estimators may be impractical for forest-dwelling stream-associated amphibians, many of which are cryptic and have low detection probabilities.
Therefore, in an environment with densely populated clutter, low detection probabilities, and uncertain target motion, the forward predicted state and the backward predicted state may lie far away such that their contributions to establish the fused predicted state may be insignificant, which results in bad fusion performance.
At low detection probabilities (less than 40%), population estimates were highly variable with some large estimates (>20,000 birds).
With only 10% of the units intensively surveyed however, population estimates were biased high for low detection probabilities; this bias declined with increasing detection probability.
The DS method also yielded some large population estimates for low detection probabilities, but the estimates were not as extreme as the DO method estimates.
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