A finite memory structure filtering for indoor positioning in wireless sensor networks with measurement delay
In this article, an alternative indoor positioning mechanism is proposed considering finite memory structure filter as well as measurement delay. First, a finite memory structure filter with a measurement delay is designed for the indoor positioning mechanism under a weighted least-squares criterion...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147716685419 |
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| _version_ | 1850233517757169664 |
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| author | Pyung Soo Kim Eung Hyuk Lee Mun Seok Jang Shin-Yoon Kang |
| author_facet | Pyung Soo Kim Eung Hyuk Lee Mun Seok Jang Shin-Yoon Kang |
| author_sort | Pyung Soo Kim |
| collection | DOAJ |
| description | In this article, an alternative indoor positioning mechanism is proposed considering finite memory structure filter as well as measurement delay. First, a finite memory structure filter with a measurement delay is designed for the indoor positioning mechanism under a weighted least-squares criterion, which utilizes only finite measurements on the most recent window. The proposed finite memory structure filtering–based mechanism gives the filtered estimates for position, velocity, and acceleration of moving target in real time, while removing undesired noisy effects and preserving desired moving positions. Second, the proposed mechanism is shown to have good inherent properties such as unbiasedness, efficiency, time-invariance, deadbeat, and robustness due to the finite memory structure. Third, through discussions about the choice of window length, it is shown that this can be considered as a useful design parameter to make the performance of the proposed mechanism as good as possible. Finally, computer simulations show that the performance of the proposed finite memory structure filtering–based mechanism can outperform the existing infinite memory structure filtering–based mechanism for the abruptly varying acceleration of moving target. |
| format | Article |
| id | doaj-art-0be210a73f3d4e518c9f9ca129e819f6 |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-0be210a73f3d4e518c9f9ca129e819f62025-08-20T02:02:55ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-01-011310.1177/1550147716685419A finite memory structure filtering for indoor positioning in wireless sensor networks with measurement delayPyung Soo Kim0Eung Hyuk Lee1Mun Seok Jang2Shin-Yoon Kang3Department of Electronic Engineering, Korea Polytechnic University, Siheung-si, KoreaDepartment of Electronic Engineering, Korea Polytechnic University, Siheung-si, KoreaDong-Eui Institute of Technology, Busan, KoreaDepartment of Electronic Engineering, Korea Polytechnic University, Siheung-si, KoreaIn this article, an alternative indoor positioning mechanism is proposed considering finite memory structure filter as well as measurement delay. First, a finite memory structure filter with a measurement delay is designed for the indoor positioning mechanism under a weighted least-squares criterion, which utilizes only finite measurements on the most recent window. The proposed finite memory structure filtering–based mechanism gives the filtered estimates for position, velocity, and acceleration of moving target in real time, while removing undesired noisy effects and preserving desired moving positions. Second, the proposed mechanism is shown to have good inherent properties such as unbiasedness, efficiency, time-invariance, deadbeat, and robustness due to the finite memory structure. Third, through discussions about the choice of window length, it is shown that this can be considered as a useful design parameter to make the performance of the proposed mechanism as good as possible. Finally, computer simulations show that the performance of the proposed finite memory structure filtering–based mechanism can outperform the existing infinite memory structure filtering–based mechanism for the abruptly varying acceleration of moving target.https://doi.org/10.1177/1550147716685419 |
| spellingShingle | Pyung Soo Kim Eung Hyuk Lee Mun Seok Jang Shin-Yoon Kang A finite memory structure filtering for indoor positioning in wireless sensor networks with measurement delay International Journal of Distributed Sensor Networks |
| title | A finite memory structure filtering for indoor positioning in wireless sensor networks with measurement delay |
| title_full | A finite memory structure filtering for indoor positioning in wireless sensor networks with measurement delay |
| title_fullStr | A finite memory structure filtering for indoor positioning in wireless sensor networks with measurement delay |
| title_full_unstemmed | A finite memory structure filtering for indoor positioning in wireless sensor networks with measurement delay |
| title_short | A finite memory structure filtering for indoor positioning in wireless sensor networks with measurement delay |
| title_sort | finite memory structure filtering for indoor positioning in wireless sensor networks with measurement delay |
| url | https://doi.org/10.1177/1550147716685419 |
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