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Total Least-Squares Solution of Active Target Localization Using TDOA and FDOA Measurements in WSN

Xiaoyan Sun, Jiandong Li, Pengyu Huang, Jiyong Pang

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Abstract

Active target localization is one of the study emphases in wireless sensor network (WSN). When time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements are used to target localization, the measurements are nonlinearly related to the target location parameters. By the analysis of TDOA and FDOA linearized equations, when there exists sensor location error, active target localization using TDOA and FDOA measurements is a typical total least-squares (TLS) problem. The TLS solution for active target localization is presented in this paper. Its minimum square error ( MSE) is compared with Cramer-Rao lower bound (CRLB) through the simulation results.

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What this paper is about

Active target localization is one of the study emphases in wireless sensor network (WSN). When time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements are used to target localization, the measurements are nonlinearly related to the target location parameters. By the analysis of TDOA and FDOA linearized equations, when there exists sensor location error, active target localization using TDOA and FDOA measurements is a typical total least-squares (TLS) problem. The TLS solution for active target localization is presented in this paper. Its minimum square error ( MSE) is compared with Cramer-Rao lower bound (CRLB) through the simulation results.

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OpenAlex reports 32 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Active target localization is one of the study emphases in wireless sensor network (WSN). When time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements are used to target localization, the measurements are nonlinearly related to the target location parameters. By the analysis of TDOA and FDOA linearized equations, when there exists sensor location error, active target localization using TDOA and FDOA measurements is a typical total least-squares (TLS) problem. The TLS solution for active target localization is presented in this paper. Its minimum square error ( MSE) is compared with Cramer-Rao lower bound (CRLB) through the simulation results.

Key concepts: FDOA, Multilateration, Cramér–Rao bound, Upper and lower bounds, Algorithm, Least-squares function approximation, Computer science, Wireless sensor network

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