Fuzzy Neural Network-Based Interacting Multiple Model for Multi-Node Target Tracking Algorithm
An interacting multiple model for multi-node target tracking algorithm was proposed based on a fuzzy neural network (FNN) to solve the multi-node target tracking problem of wireless sensor networks (WSNs). Measured error variance was adaptively adjusted during the multiple model interacting output s...
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| Format: | Article |
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MDPI AG
2016-11-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/11/1823 |
| _version_ | 1811297731199631360 |
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| author | Baoliang Sun Chunlan Jiang Ming Li |
| author_facet | Baoliang Sun Chunlan Jiang Ming Li |
| author_sort | Baoliang Sun |
| collection | DOAJ |
| description | An interacting multiple model for multi-node target tracking algorithm was proposed based on a fuzzy neural network (FNN) to solve the multi-node target tracking problem of wireless sensor networks (WSNs). Measured error variance was adaptively adjusted during the multiple model interacting output stage using the difference between the theoretical and estimated values of the measured error covariance matrix. The FNN fusion system was established during multi-node fusion to integrate with the target state estimated data from different nodes and consequently obtain network target state estimation. The feasibility of the algorithm was verified based on a network of nine detection nodes. Experimental results indicated that the proposed algorithm could trace the maneuvering target effectively under sensor failure and unknown system measurement errors. The proposed algorithm exhibited great practicability in the multi-node target tracking of WSNs. |
| first_indexed | 2024-04-13T06:09:29Z |
| format | Article |
| id | doaj.art-1a352fb07caf46d89db56df1f9bf97e6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T06:09:29Z |
| publishDate | 2016-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1a352fb07caf46d89db56df1f9bf97e62022-12-22T02:59:07ZengMDPI AGSensors1424-82202016-11-011611182310.3390/s16111823s16111823Fuzzy Neural Network-Based Interacting Multiple Model for Multi-Node Target Tracking AlgorithmBaoliang Sun0Chunlan Jiang1Ming Li2State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaState Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaState Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaAn interacting multiple model for multi-node target tracking algorithm was proposed based on a fuzzy neural network (FNN) to solve the multi-node target tracking problem of wireless sensor networks (WSNs). Measured error variance was adaptively adjusted during the multiple model interacting output stage using the difference between the theoretical and estimated values of the measured error covariance matrix. The FNN fusion system was established during multi-node fusion to integrate with the target state estimated data from different nodes and consequently obtain network target state estimation. The feasibility of the algorithm was verified based on a network of nine detection nodes. Experimental results indicated that the proposed algorithm could trace the maneuvering target effectively under sensor failure and unknown system measurement errors. The proposed algorithm exhibited great practicability in the multi-node target tracking of WSNs.http://www.mdpi.com/1424-8220/16/11/1823wireless sensor networkmulti-sensing data fusioninteracting multiple modelfuzzy neural networktarget tracking |
| spellingShingle | Baoliang Sun Chunlan Jiang Ming Li Fuzzy Neural Network-Based Interacting Multiple Model for Multi-Node Target Tracking Algorithm Sensors wireless sensor network multi-sensing data fusion interacting multiple model fuzzy neural network target tracking |
| title | Fuzzy Neural Network-Based Interacting Multiple Model for Multi-Node Target Tracking Algorithm |
| title_full | Fuzzy Neural Network-Based Interacting Multiple Model for Multi-Node Target Tracking Algorithm |
| title_fullStr | Fuzzy Neural Network-Based Interacting Multiple Model for Multi-Node Target Tracking Algorithm |
| title_full_unstemmed | Fuzzy Neural Network-Based Interacting Multiple Model for Multi-Node Target Tracking Algorithm |
| title_short | Fuzzy Neural Network-Based Interacting Multiple Model for Multi-Node Target Tracking Algorithm |
| title_sort | fuzzy neural network based interacting multiple model for multi node target tracking algorithm |
| topic | wireless sensor network multi-sensing data fusion interacting multiple model fuzzy neural network target tracking |
| url | http://www.mdpi.com/1424-8220/16/11/1823 |
| work_keys_str_mv | AT baoliangsun fuzzyneuralnetworkbasedinteractingmultiplemodelformultinodetargettrackingalgorithm AT chunlanjiang fuzzyneuralnetworkbasedinteractingmultiplemodelformultinodetargettrackingalgorithm AT mingli fuzzyneuralnetworkbasedinteractingmultiplemodelformultinodetargettrackingalgorithm |