Distributed robust RLS estimation algorithm over sensor networks
In the parameter estimation of the sensor network, there may be impact noise or pulse interference in the measurement environment, which leads to the outliers that greatly deviate from the actual range, so that the effective parameter estimation problem can't be obtained. A distributed RLS esti...
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Language: | zho |
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Beijing Xintong Media Co., Ltd
2019-01-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2019002/ |
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author | Kaikai KANG Zhaoting LIU Yingbiao YAO |
author_facet | Kaikai KANG Zhaoting LIU Yingbiao YAO |
author_sort | Kaikai KANG |
collection | DOAJ |
description | In the parameter estimation of the sensor network, there may be impact noise or pulse interference in the measurement environment, which leads to the outliers that greatly deviate from the actual range, so that the effective parameter estimation problem can't be obtained. A distributed RLS estimation algorithm based on node cooperation and robustness was proposed. The characteristic of interference or attack on a node is usually sporadic (ie, sparse) for a period of time was utilized, ℓ<sub>1</sub>norm was introduced to cost function. The outliers which may exist in the measurement data were identified and eliminated, and the interaction between the nodes of the network was utilized to further improve the performance of the parameter estimation. The computer simulation experiments show that the algorithm has good estimation performance. |
format | Article |
id | doaj-art-9c98e0197e474120a660f34f4888fde8 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2019-01-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-9c98e0197e474120a660f34f4888fde82025-01-15T03:03:26ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-01-0135374359591399Distributed robust RLS estimation algorithm over sensor networksKaikai KANGZhaoting LIUYingbiao YAOIn the parameter estimation of the sensor network, there may be impact noise or pulse interference in the measurement environment, which leads to the outliers that greatly deviate from the actual range, so that the effective parameter estimation problem can't be obtained. A distributed RLS estimation algorithm based on node cooperation and robustness was proposed. The characteristic of interference or attack on a node is usually sporadic (ie, sparse) for a period of time was utilized, ℓ<sub>1</sub>norm was introduced to cost function. The outliers which may exist in the measurement data were identified and eliminated, and the interaction between the nodes of the network was utilized to further improve the performance of the parameter estimation. The computer simulation experiments show that the algorithm has good estimation performance.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2019002/sensor networkrobustnessdistributed processingadaptive estimation |
spellingShingle | Kaikai KANG Zhaoting LIU Yingbiao YAO Distributed robust RLS estimation algorithm over sensor networks Dianxin kexue sensor network robustness distributed processing adaptive estimation |
title | Distributed robust RLS estimation algorithm over sensor networks |
title_full | Distributed robust RLS estimation algorithm over sensor networks |
title_fullStr | Distributed robust RLS estimation algorithm over sensor networks |
title_full_unstemmed | Distributed robust RLS estimation algorithm over sensor networks |
title_short | Distributed robust RLS estimation algorithm over sensor networks |
title_sort | distributed robust rls estimation algorithm over sensor networks |
topic | sensor network robustness distributed processing adaptive estimation |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2019002/ |
work_keys_str_mv | AT kaikaikang distributedrobustrlsestimationalgorithmoversensornetworks AT zhaotingliu distributedrobustrlsestimationalgorithmoversensornetworks AT yingbiaoyao distributedrobustrlsestimationalgorithmoversensornetworks |