462 related articles for article (PubMed ID: 27455532)
1. Weighted Optimization-Based Distributed Kalman Filter for Nonlinear Target Tracking in Collaborative Sensor Networks.
Chen J; Li J; Yang S; Deng F
IEEE Trans Cybern; 2017 Nov; 47(11):3892-3905. PubMed ID: 27455532
[TBL] [Abstract][Full Text] [Related]
2. Adaptive Unscented Kalman Filter for Target Tracking with Unknown Time-Varying Noise Covariance.
Ge B; Zhang H; Jiang L; Li Z; Butt MM
Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30893837
[TBL] [Abstract][Full Text] [Related]
3. Centralized Multi-Sensor Square Root Cubature Joint Probabilistic Data Association.
Liu Y; Liu J; Li G; Qi L; Li Y; He Y
Sensors (Basel); 2017 Nov; 17(11):. PubMed ID: 29113085
[TBL] [Abstract][Full Text] [Related]
4. Kullback-Leibler Divergence Based Distributed Cubature Kalman Filter and Its Application in Cooperative Space Object Tracking.
Hu C; Lin H; Li Z; He B; Liu G
Entropy (Basel); 2018 Feb; 20(2):. PubMed ID: 33265207
[TBL] [Abstract][Full Text] [Related]
5. Adaptive Unscented Kalman Filter for Target Tacking with Time-Varying Noise Covariance Based on Multi-Sensor Information Fusion.
Wang D; Zhang H; Ge B
Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502699
[TBL] [Abstract][Full Text] [Related]
6. Distributed Particle Filter for Target Tracking: With Reduced Sensor Communications.
Ghirmai T
Sensors (Basel); 2016 Sep; 16(9):. PubMed ID: 27618057
[TBL] [Abstract][Full Text] [Related]
7. Improved Spatial Registration and Target Tracking Method for Sensors on Multiple Missiles.
Lu X; Xie Y; Zhou J
Sensors (Basel); 2018 May; 18(6):. PubMed ID: 29861468
[TBL] [Abstract][Full Text] [Related]
8. Adaptive Fifth-Degree Cubature Information Filter for Multi-Sensor Bearings-Only Tracking.
Jiang H; Cai Y
Sensors (Basel); 2018 Sep; 18(10):. PubMed ID: 30261659
[TBL] [Abstract][Full Text] [Related]
9. SVM+KF Target Tracking Strategy Using the Signal Strength in Wireless Sensor Networks.
Wang X; Liu X; Wang Z; Li R; Wu Y
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32660040
[TBL] [Abstract][Full Text] [Related]
10. On the Identification of Noise Covariances and Adaptive Kalman Filtering: A New Look at a 50 Year-Old Problem.
Zhang L; Sidoti D; Bienkowski A; Pattipati KR; Bar-Shalom Y; Kleinman DL
IEEE Access; 2020; 8():59362-59388. PubMed ID: 34868797
[TBL] [Abstract][Full Text] [Related]
11. Genetic Algorithm-Based Sensor Allocation With Nonlinear Centralized Fusion Observable Degree.
Ge Q; Yang Q; Zhuo P; Liu G; Tang S
IEEE Trans Neural Netw Learn Syst; 2019 Dec; 30(12):3665-3673. PubMed ID: 31226091
[TBL] [Abstract][Full Text] [Related]
12. Adaptive Consensus-Based Distributed Target Tracking With Dynamic Cluster in Sensor Networks.
Zhang H; Zhou X; Wang Z; Yan H; Sun J
IEEE Trans Cybern; 2019 May; 49(5):1580-1591. PubMed ID: 29993703
[TBL] [Abstract][Full Text] [Related]
13. A Robust Adaptive Unscented Kalman Filter for Nonlinear Estimation with Uncertain Noise Covariance.
Zheng B; Fu P; Li B; Yuan X
Sensors (Basel); 2018 Mar; 18(3):. PubMed ID: 29518960
[TBL] [Abstract][Full Text] [Related]
14. Distributed Event-Based Set-Membership Filtering for a Class of Nonlinear Systems With Sensor Saturations Over Sensor Networks.
Ma L; Wang Z; Lam HK; Kyriakoulis N
IEEE Trans Cybern; 2017 Nov; 47(11):3772-3783. PubMed ID: 27392367
[TBL] [Abstract][Full Text] [Related]
15. Distributed Finite-Horizon Extended Kalman Filtering for Uncertain Nonlinear Systems.
Duan P; Duan Z; Lv Y; Chen G
IEEE Trans Cybern; 2021 Feb; 51(2):512-520. PubMed ID: 31226095
[TBL] [Abstract][Full Text] [Related]
16. Adaptive Interacting Multiple Model Algorithm Based on Information-Weighted Consensus for Maneuvering Target Tracking.
Ding Z; Liu Y; Liu J; Yu K; You Y; Jing P; He Y
Sensors (Basel); 2018 Jun; 18(7):. PubMed ID: 29932165
[TBL] [Abstract][Full Text] [Related]
17. An Adaptive Low-Cost INS/GNSS Tightly-Coupled Integration Architecture Based on Redundant Measurement Noise Covariance Estimation.
Li Z; Zhang H; Zhou Q; Che H
Sensors (Basel); 2017 Sep; 17(9):. PubMed ID: 28872629
[TBL] [Abstract][Full Text] [Related]
18. Maneuvering Target Tracking With Event-Based Mixture Kalman Filter in Mobile Sensor Networks.
Zhang H; Zhou X; Wang Z; Yan H
IEEE Trans Cybern; 2020 Oct; 50(10):4346-4357. PubMed ID: 30998485
[TBL] [Abstract][Full Text] [Related]
19. A game theory approach to target tracking in sensor networks.
Gu D
IEEE Trans Syst Man Cybern B Cybern; 2011 Feb; 41(1):2-13. PubMed ID: 20194057
[TBL] [Abstract][Full Text] [Related]
20. Robust Adaptive Beamforming with Sensor Position Errors Using Weighted Subspace Fitting-Based Covariance Matrix Reconstruction.
Chen P; Yang Y; Wang Y; Ma Y
Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29738510
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]