Passive Target Tracking using Unscented Kalman Filter based on Monte Carlo Simulation

Research article (Indian Journal of Science and Technology, 2015) · cited 20× · AI/ML
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Passive Target Tracking using Unscented Kalman Filter based on Monte Carlo Simulation

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Passive Target Tracking using Unscented Kalman Filter based on Monte Carlo Simulation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Passive Target Tracking using Unscented Kalman Filter based on Monte Carlo Simulation. Retrieved May 24, 2026, from https://4ort.xyz/entity/passive-target-tracking-using-unscented-kalman-filter-based-on-monte-carlo-simulation
MLA “Passive Target Tracking using Unscented Kalman Filter based on Monte Carlo Simulation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/passive-target-tracking-using-unscented-kalman-filter-based-on-monte-carlo-simulation.
BibTeX @misc{4ortxyz_passive-target-tracking-using-unscented-kalman-filter-based-on-monte-carlo-simulation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Passive Target Tracking using Unscented Kalman Filter based on Monte Carlo Simulation}}, year = {2026}, url = {https://4ort.xyz/entity/passive-target-tracking-using-unscented-kalman-filter-based-on-monte-carlo-simulation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Passive Target Tracking using Unscented Kalman Filter based on Monte Carlo Simulation — https://4ort.xyz/entity/passive-target-tracking-using-unscented-kalman-filter-based-on-monte-carlo-simulation (retrieved 2026-05-24)

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