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Target tracking using TDOA/FDOA measurements in the distributed sensor network

Yuki Takabayashi, Takashi Matsuzaki, Hiroshi Kameda, Masayoshi Ito

Open publisher page 26 citations

Abstract

This paper proposes a target positioning algorithm using asynchronous TDOA (Time Difference of Arrival) and FDOA(Frequency Difference of Arrival) measurements for a single target in a distributed sensor network. A conventional algorithm, target localization through TDOA measurements cannot estimate target position when the number of TDOA measurements is not enough for localization at the same time. Our algorithm uses TDOA and FDOA measurements at the different time to compute the position and velocity estimates. Through computer simulation trials, the validity of our algorithm is confirmed.

About this research paper

What this paper is about

This paper proposes a target positioning algorithm using asynchronous TDOA (Time Difference of Arrival) and FDOA(Frequency Difference of Arrival) measurements for a single target in a distributed sensor network. A conventional algorithm, target localization through TDOA measurements cannot estimate target position when the number of TDOA measurements is not enough for localization at the same time. Our algorithm uses TDOA and FDOA measurements at the different time to compute the position and velocity estimates. Through computer simulation trials, the validity of our algorithm is confirmed.

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OpenAlex reports 26 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

This paper proposes a target positioning algorithm using asynchronous TDOA (Time Difference of Arrival) and FDOA(Frequency Difference of Arrival) measurements for a single target in a distributed sensor network. A conventional algorithm, target localization through TDOA measurements cannot estimate target position when the number of TDOA measurements is not enough for localization at the same time. Our algorithm uses TDOA and FDOA measurements at the different time to compute the position and velocity estimates. Through computer simulation trials, the validity of our algorithm is confirmed.

Key concepts: Multilateration, FDOA, Computer science, Asynchronous communication, Position (finance), Tracking (education), Algorithm, Wireless sensor network

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