Name
Abstract | ||
|---|---|---|
This paper investigates the potential for future multiple antenna wireless local area network technologies such as 802.11n to perform indoor network-based positioning using angle of arrival (AOA) estimation. A multiple-input multiple-output (MIMO) channel measurement system is used to determine the statistical accuracy of the indoor AOA estimation when performed at an 802.11n wireless access point (AP). Two different channel parameter estimation algorithms are used to perform AOA estimation; a simple maximum-likelihood (ML) scheme and the space-alternating generalized expectation-maximization (SAGE) technique. Results indicate that general channel parameter estimation algorithms, such as SAGE, are ill suited to estimate AOA for positioning purposes. However, results show that with the use of a specialized channel parameter estimation algorithm, such as the simple ML algorithm, quality AOA estimates for positioning might be achieved with low computational complexity. A positioning simulation that incorporates the AOA estimates from the simple ML algorithm achieves a positioning accuracy of 1.7 m with the help of an extended Kalman filter. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/VETECF.2008.146 | VTC Fall |
Keywords | Field | DocType |
expectation-maximisation algorithm,kalman filters,wlan,angle-of-arrival indoor user location,wireless access point,maximum-likelihood scheme,channel parameter estimation,multiple antenna,mimo communication,direction-of-arrival estimation,antennas,mimo channel,extended kalman filter,wireless lan,space-alternating generalized expectation-maximization,channel estimation,maximum likelihood estimation,computational complexity,mobile communication,angle of arrival,maximum likelihood,accuracy,parameter estimation,wireless local area network,estimation,bandwidth,measurement system | Extended Kalman filter,Computer science,Communication channel,Wireless access point,Angle of arrival,MIMO,Kalman filter,Electronic engineering,Bandwidth (signal processing),Wi-Fi | Conference |
ISSN | ISBN | Citations |
1090-3038 E-ISBN : 978-1-4244-1722-3 | 978-1-4244-1722-3 | 25 |
PageRank | References | Authors |
1.51 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carl Wong | 1 | 25 | 1.51 |
| Richard Klukas | 2 | 55 | 3.86 |
| Geoffrey G. Messier | 3 | 231 | 22.19 |