2004
DOI: 10.1049/ip-rsn:20040894
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Intelligent Kalman filter for tracking a manoeuvring target

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Cited by 34 publications
(12 citation statements)
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“…First, each time we need a value of MSE during global optimization procedure we have to run IMM_EKF and IMM-UKF on all availab le data. This requires a significant co mputational time since for example in order to find a global minimu m o f a smooth function of 3 parameters; we need to compute the function value many times [22][23][24].…”
Section: Applying Ga-pso In Filter Tuningmentioning
confidence: 99%
“…First, each time we need a value of MSE during global optimization procedure we have to run IMM_EKF and IMM-UKF on all availab le data. This requires a significant co mputational time since for example in order to find a global minimu m o f a smooth function of 3 parameters; we need to compute the function value many times [22][23][24].…”
Section: Applying Ga-pso In Filter Tuningmentioning
confidence: 99%
“…In some situations, the sonar operator performs tracking manually, but modern sonars have an automatic system to support this task. Although Kalman filters (Lee, 2004) have often been used to implement passive tracking (Rao, 2006), other techniques, (Mellema, 2006) have also been obtaining good results in target tracking application.…”
Section: Trackingmentioning
confidence: 99%
“…The time delay between the occurrence of the maneuver and its detection is unavoidable. (2) Methods based on the online identification of maneuvering acceleration and its statistical characteristics [4], [5], [6], which do not detect maneuver of targets, but need a priori assumption on the maneuvering characteristics of targets, perform well when targets maneuver but the performance declines as maneuver is eliminated. (3) Multiple model methods [7], [8], [9], which are a combination of the two methods mentioned above, to some extent, compensate for the disadvantages of them.…”
Section: Introductionmentioning
confidence: 99%