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Fusion of Sensor Measurements and Target-Provided Information in Multitarget Tracking.

, , , , , and . IEEE Trans. Signal Process., (2022)

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Adaptive Bayesian tracking with unknown time-varying sensor network performance., , , , , and . ICASSP, page 2534-2538. IEEE, (2015)Asset network planning: Integration of environmental data and sensor performance for counter piracy., , , and . EUSIPCO, page 1-5. IEEE, (2013)Translational velocity estimation by means of bistatic isar techniques., , , and . IGARSS, page 1921-1924. IEEE, (2015)Application of the JPDA-UKF to HFSW radars for maritime situational awareness., , , , and . FUSION, page 2585-2592. IEEE, (2012)Converted measurements random matrix approach to extended target tracking using X-band marine radar data., , , , and . FUSION, page 976-983. IEEE, (2015)Estimating sensor performance and target population size with multiple sensors., , , , and . FUSION, page 2102-2109. IEEE, (2012)Anomaly Detection and Tracking Based on Mean-Reverting Processes with Unknown Parameters., , , and . ICASSP, page 8449-8453. IEEE, (2019)Heterogeneous Information Fusion for Multitarget Tracking Using the Sum-product Algorithm., , , , , , and . ICASSP, page 5471-5475. IEEE, (2019)Bayesian Track-to-Graph Association for Maritime Traffic Monitoring., , and . EUSIPCO, page 1042-1046. IEEE, (2018)Consistent Estimation of Randomly Sampled Ornstein-Uhlenbeck Process Long-Run Mean for Long-Term Target State Prediction., , and . IEEE Signal Process. Lett., 23 (11): 1562-1566 (2016)