2021
DOI: 10.1109/taes.2020.3038257
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A Parallel Retrodiction Algorithm for Large-Scale Multitarget Tracking

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Cited by 5 publications
(1 citation statement)
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“…However, the Kalman filter algorithm, during the process of state estimation, involves recursive calculations and state estimation smoothing, which can sometimes impact the real-time nature of state estimation, causing the covariance to gradually increase over time. To achieve more precise posterior state estimates in post-processing, this study employs the Rauch-Tung-Striebel (RTS) algorithm, leveraging all observation updates to constrain errors and address the fixed-lag smoothing problem [9][10][11][12] . The algorithm flow is shown in Figure 2.…”
Section: Trajectory Filteringmentioning
confidence: 99%
“…However, the Kalman filter algorithm, during the process of state estimation, involves recursive calculations and state estimation smoothing, which can sometimes impact the real-time nature of state estimation, causing the covariance to gradually increase over time. To achieve more precise posterior state estimates in post-processing, this study employs the Rauch-Tung-Striebel (RTS) algorithm, leveraging all observation updates to constrain errors and address the fixed-lag smoothing problem [9][10][11][12] . The algorithm flow is shown in Figure 2.…”
Section: Trajectory Filteringmentioning
confidence: 99%