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3D Localization and Tracking Methods for Multiplatform Radar Networks
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DOI：10.1109/MAES.2024.3366139.png)
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Multiplatform radar networks (MPRNs) are an emerging sensing technology due to their ability to provide improved surveillance capabilities over plain monostatic and bistatic systems. The design of advanced detection, localization, and tracking algorithms for efficient fusion of information obtained through multiple receivers has attracted much attention. However, considerable challenges remain. This article provides an overview on recent unconstrained and constrained localization techniques as well as multitarget tracking (MTT) algorithms tailored to MPRNs. In particular, two data-processing methods are illustrated and explored in detail, one aimed at accomplishing localization tasks the other tracking functions. As to the former, assuming an MPRN with one transmitter and multiple receivers, the angular and range constrained estimator (ARCE) algorithm capitalizes on the knowledge of the transmitter antenna beamwidth. As to the latter, the scalable sum-product algorithm (SPA) based MTT technique is presented. In addition, a solution to combine ARCE and SPA-based MTT is investigated in order to boost the accuracy of the overall surveillance system. Simulated experiments show the benefit of the combined algorithm in comparison with the conventional baseline SPA-based MTT and the stand-alone ARCE localization, in a 3D sensing scenario.
Keyword:
Particle measurements
Atmospheric measurements
Radar tracking
Location awareness
Radar
Three-dimensional displays
Current measurement
Sensor systems
One-shot target localization
angular and range constrained estimator
multi-target tracking
particle filtering
sum-product algorithm
期刊
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3.8
论文数:
2.1K
被引数:
2.5K
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