Robust localization over obstructed interferences for inbuilding wireless applications

Location-awareness can be applied to the various consumer applications. A received signal strength (RSS) based localization system is relatively inexpensive and simple to be implemented without additional hardware supports. However, the radio signals are strongly affected by the obstructed interfere...

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Vydané v:IEEE transactions on consumer electronics Ročník 55; číslo 1; s. 105 - 111
Hlavní autori: Kong, Youngbae, Kwon, Younggoo, Park, Gwitae
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.02.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Electronics
Environmental management
Error analysis
Error detection
Hardware
Home automation
Interference
Localization
Location-awareness
Maximum likelihood estimation
Measurement errors
Min-Max algorithm
Navigation
Obstructed interference
Position (location)
Received signal Received strength
Robustness
Signal strength
Time difference of arrival
Wireless sensor networks
ISSN:0098-3063, 1558-4127
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Popis
Shrnutí:Location-awareness can be applied to the various consumer applications. A received signal strength (RSS) based localization system is relatively inexpensive and simple to be implemented without additional hardware supports. However, the radio signals are strongly affected by the obstructed interferences. This is a difficult problem for the RSS based localization systems to be implemented in real world. To solve this problem, we propose a practical and robust localization algorithm in the obstructed environments. The proposed algorithm uses the Maximum Likelihood Estimation (MLE) based on the position probability grid. In addition, the proposed algorithm detects and compensates the large measurement error using the Min-Max algorithm. We evaluated the performance of the proposed algorithm in the obstructed environments. Performance results show that the proposed algorithm outperforms other algorithms on the obstructed environments.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2009.4814421