2008Unpublished venueRequires access

A least square approach for TDOA/AOA wireless location in WCDMA system

Mohammad Nur-A-Alam, Mohammed Mezbaul Haque

Open publisher page 10 citations

Abstract

Cellular mobile networks use time of arrival (TOA), time difference of arrival (TDOA), angle of arrival (AOA) or received signal strength (RSS) based measurement techniques for mobile position estimation. Each of these measurement techniques has its degree of accuracy and level of complexity. Individual methods are usually not able to give adequate correct position of a mobile user. Therefore, a common trend is to combine these methods with other suitable techniques to attain enhanced performance. There are several algorithms to compensate the position errors by combining different methods. In this paper, a two step least square algorithm for wireless position estimation technique is implemented in WCDMA system where an angle of arrival (AOA) assisted and correlation slope-based time difference of arrival (TDOA) measurement method is considered and their performance is presented in signal to noise ratio conditions

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What this paper is about

Cellular mobile networks use time of arrival (TOA), time difference of arrival (TDOA), angle of arrival (AOA) or received signal strength (RSS) based measurement techniques for mobile position estimation. Each of these measurement techniques has its degree of accuracy and level of complexity. Individual methods are usually not able to give adequate correct position of a mobile user. Therefore, a common trend is to combine these methods with other suitable techniques to attain enhanced performance. There are several algorithms to compensate the position errors by combining different methods. In this paper, a two step least square algorithm for wireless position estimation technique is implemented in WCDMA system where an angle of arrival (AOA) assisted and correlation slope-based time difference of arrival (TDOA) measurement method is considered and their performance is presented in signal to noise ratio conditions

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Available abstract

Cellular mobile networks use time of arrival (TOA), time difference of arrival (TDOA), angle of arrival (AOA) or received signal strength (RSS) based measurement techniques for mobile position estimation. Each of these measurement techniques has its degree of accuracy and level of complexity. Individual methods are usually not able to give adequate correct position of a mobile user. Therefore, a common trend is to combine these methods with other suitable techniques to attain enhanced performance. There are several algorithms to compensate the position errors by combining different methods. In this paper, a two step least square algorithm for wireless position estimation technique is implemented in WCDMA system where an angle of arrival (AOA) assisted and correlation slope-based time difference of arrival (TDOA) measurement method is considered and their performance is presented in signal to noise ratio conditions

Key concepts: Multilateration, Angle of arrival, RSS, Computer science, Time of arrival, Position (finance), Wireless, Direction of arrival

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