RSS-based Indoor Positioning Accuracy Improvement Using Antenna Array in WLAN Environments
The interest in utilizing Wi-Fi signals for indoor location estimation purposes has been increased recently due to wide deployment of WLANs. Received signal strength (RSS) based approach has become an attractive candidate for positioning owing to its simplicity and low-complexity, which can be easil...
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/6699 |
| _version_ | 1848745152826310656 |
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| author | Attanayake, Gayan Rong, Yue |
| author2 | Binghao Li |
| author_facet | Binghao Li Attanayake, Gayan Rong, Yue |
| author_sort | Attanayake, Gayan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The interest in utilizing Wi-Fi signals for indoor location estimation purposes has been increased recently due to wide deployment of WLANs. Received signal strength (RSS) based approach has become an attractive candidate for positioning owing to its simplicity and low-complexity, which can be easily implemented in modern wireless devices such as laptops and PDAs. However, the challenging nature of indoor wireless propagation environments provoke time varying location estimations from RSS based positioning algorithms. In this paper, we have shown that this variability of the location estimations can be reduced by introducing an antenna array at the receiving station. In our proposed approach, the variation of the received signal power with respect to time is averaged using a uniform linear antenna array (ULA) at the mobile station. We further explore the impact of number of array elements on the accuracy of the position estimations by using representative set of multilateration algorithms. In the first phase of analysis, we consider uncorrelated Rayleigh fading channels on each antenna element whilst in the second phase, we take into account the fading correlation between antenna elements using the spatial correlation function for two-dimensional (2D) diffuse field. The proposed positioning technique can be integrated into IEEE 802.11 compatible receivers with single-input multiple-output (SIMO) capability, thus be able to use for robust indoor localization purposes. |
| first_indexed | 2025-11-14T06:12:49Z |
| format | Conference Paper |
| id | curtin-20.500.11937-6699 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:12:49Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-66992017-09-13T16:06:25Z RSS-based Indoor Positioning Accuracy Improvement Using Antenna Array in WLAN Environments Attanayake, Gayan Rong, Yue Binghao Li Lateration Indoor Positioning Fading Correlation Antenna Array RSS The interest in utilizing Wi-Fi signals for indoor location estimation purposes has been increased recently due to wide deployment of WLANs. Received signal strength (RSS) based approach has become an attractive candidate for positioning owing to its simplicity and low-complexity, which can be easily implemented in modern wireless devices such as laptops and PDAs. However, the challenging nature of indoor wireless propagation environments provoke time varying location estimations from RSS based positioning algorithms. In this paper, we have shown that this variability of the location estimations can be reduced by introducing an antenna array at the receiving station. In our proposed approach, the variation of the received signal power with respect to time is averaged using a uniform linear antenna array (ULA) at the mobile station. We further explore the impact of number of array elements on the accuracy of the position estimations by using representative set of multilateration algorithms. In the first phase of analysis, we consider uncorrelated Rayleigh fading channels on each antenna element whilst in the second phase, we take into account the fading correlation between antenna elements using the spatial correlation function for two-dimensional (2D) diffuse field. The proposed positioning technique can be integrated into IEEE 802.11 compatible receivers with single-input multiple-output (SIMO) capability, thus be able to use for robust indoor localization purposes. 2012 Conference Paper http://hdl.handle.net/20.500.11937/6699 10.1109/IPIN.2012.6418922 IEEE fulltext |
| spellingShingle | Lateration Indoor Positioning Fading Correlation Antenna Array RSS Attanayake, Gayan Rong, Yue RSS-based Indoor Positioning Accuracy Improvement Using Antenna Array in WLAN Environments |
| title | RSS-based Indoor Positioning Accuracy Improvement Using Antenna Array in WLAN Environments |
| title_full | RSS-based Indoor Positioning Accuracy Improvement Using Antenna Array in WLAN Environments |
| title_fullStr | RSS-based Indoor Positioning Accuracy Improvement Using Antenna Array in WLAN Environments |
| title_full_unstemmed | RSS-based Indoor Positioning Accuracy Improvement Using Antenna Array in WLAN Environments |
| title_short | RSS-based Indoor Positioning Accuracy Improvement Using Antenna Array in WLAN Environments |
| title_sort | rss-based indoor positioning accuracy improvement using antenna array in wlan environments |
| topic | Lateration Indoor Positioning Fading Correlation Antenna Array RSS |
| url | http://hdl.handle.net/20.500.11937/6699 |