A nonlinear smoother for target tracking in asynchronous wireless sensor networks
Generally, multiple sensors are deployed to track a target synchronously in wireless sensor networks. However, asynchronous measurements exist intrinsically in multi-rate multi-sensor systems. Asynchronous measurements may also emerge in acoustic sensor networks, owing to the low propagation speed o...
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| Vydané v: | Digital signal processing Ročník 41; s. 32 - 40 |
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| Jazyk: | English |
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01.06.2015
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| Abstract | Generally, multiple sensors are deployed to track a target synchronously in wireless sensor networks. However, asynchronous measurements exist intrinsically in multi-rate multi-sensor systems. Asynchronous measurements may also emerge in acoustic sensor networks, owing to the low propagation speed of acoustic signals. In order to handle the target tracking problem with asynchronous measurements, a nonlinear smoothing algorithm based on the fixed-point smoother and the square-root cubature Kalman filter is derived and applied in asynchronous wireless sensor networks for the first time. The estimation precision of the states increases along with the smoothing process, and a sensor can always obtain the optimal estimate of a state before its own next measurement by using the proposed algorithm. The numerical simulations demonstrate that, thanks to the smoothing effect of the fixed-point smoother, the proposed algorithm can obtain not only the remarkable position estimation results of the target, but also even better velocity estimation results. In addition, the proposed algorithm can obtain much more states' estimates than benchmark synchronous target-tracking algorithms, under the same condition of measurement count and communication cost. |
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| AbstractList | Generally, multiple sensors are deployed to track a target synchronously in wireless sensor networks. However, asynchronous measurements exist intrinsically in multi-rate multi-sensor systems. Asynchronous measurements may also emerge in acoustic sensor networks, owing to the low propagation speed of acoustic signals. In order to handle the target tracking problem with asynchronous measurements, a nonlinear smoothing algorithm based on the fixed-point smoother and the square-root cubature Kalman filter is derived and applied in asynchronous wireless sensor networks for the first time. The estimation precision of the states increases along with the smoothing process, and a sensor can always obtain the optimal estimate of a state before its own next measurement by using the proposed algorithm. The numerical simulations demonstrate that, thanks to the smoothing effect of the fixed-point smoother, the proposed algorithm can obtain not only the remarkable position estimation results of the target, but also even better velocity estimation results. In addition, the proposed algorithm can obtain much more states' estimates than benchmark synchronous target-tracking algorithms, under the same condition of measurement count and communication cost. |
| Author | Chen, Yaowu Zhu, Guangming Jiang, Rongxin Zhou, Fan Tian, Xiang |
| Author_xml | – sequence: 1 givenname: Guangming surname: Zhu fullname: Zhu, Guangming organization: School of Software, Xidian University, Xi'an 710071, China – sequence: 2 givenname: Fan surname: Zhou fullname: Zhou, Fan email: fanzhou@mail.bme.zju.edu.cn organization: Institute of Advanced Digital Technology and Instrumentation, Zhejiang University, Hangzhou 310027, China – sequence: 3 givenname: Rongxin surname: Jiang fullname: Jiang, Rongxin organization: Institute of Advanced Digital Technology and Instrumentation, Zhejiang University, Hangzhou 310027, China – sequence: 4 givenname: Xiang surname: Tian fullname: Tian, Xiang organization: Institute of Advanced Digital Technology and Instrumentation, Zhejiang University, Hangzhou 310027, China – sequence: 5 givenname: Yaowu surname: Chen fullname: Chen, Yaowu organization: Institute of Advanced Digital Technology and Instrumentation, Zhejiang University, Hangzhou 310027, China |
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| Keywords | Wireless sensor network Square-root cubature Kalman filter Target tracking Fixed-point smoother |
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| SubjectTerms | Fixed-point smoother Square-root cubature Kalman filter Target tracking Wireless sensor network |
| Title | A nonlinear smoother for target tracking in asynchronous wireless sensor networks |
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