TDOA based approach for accurate target localization based on hybrid genetic algorithm
Samo za registrovane korisnike
2022
Konferencijski prilog (Objavljena verzija)
,
OTEH 2022
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Accurate localization of target based on time difference of arrival (TDOA) measurements is of crucial importance in a large number of different military and civil applications, especially in security systems, radars, sonars etc. This paper focuses on the determining the position of a target from a set of TDOA measurements obtained on several receivers whose positions are known. The considered target localization problem is formulated as the optimization problem, where the corresponding objective function is obtained based on least squares (LS) method. Due to the complexity of the considered problem, the resulting objective function is highly nonlinear and multimodal. Therefore, to solve this complex optimization problem this paper proposes the hybridization of Genetic Algorithm (GA) with well-known Gauss-Newton (GN) method. The performance of considered hybrid algorithm is investigated and compared to well-known conventional optimization algorithms in solving the considered TDOA based ...localization problem. The simulation results of the proposed optimization method indicate a significant improvement in localization accuracy compared to well-known algorithms.
Ključne reči:
Localization / Optimization / Least Squares / Time Difference of Arrival / Wireless Sensor NetworksIzvor:
10th International Scientific Conference on Defensive Technologies OTEH 2022, 2022, 321-327Izdavač:
- International Scientific Conference on Defensive Technologies (OTEH 2022)
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- Razvoj metodologija za povećanje radne sposobnosti, pouzdanosti i energetske efikasnosti mašinskih sistema u energetici (RS-MESTD-Technological Development (TD or TR)-35029)
- Održivost i unapređenje mašinskih sistema u energetici i transportu primenom forenzičkog inženjerstva, eko i robust dizajna (RS-MESTD-Technological Development (TD or TR)-35006)
- Napredne tehnike efikasnog korišćenja spektra u bežičnim sistemima (RS-MESTD-Technological Development (TD or TR)-32028)
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Institucija/grupa
Mašinski fakultetTY - CONF AU - Rosić Vitas, Maja AU - Sedak, Miloš PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5482 AB - Accurate localization of target based on time difference of arrival (TDOA) measurements is of crucial importance in a large number of different military and civil applications, especially in security systems, radars, sonars etc. This paper focuses on the determining the position of a target from a set of TDOA measurements obtained on several receivers whose positions are known. The considered target localization problem is formulated as the optimization problem, where the corresponding objective function is obtained based on least squares (LS) method. Due to the complexity of the considered problem, the resulting objective function is highly nonlinear and multimodal. Therefore, to solve this complex optimization problem this paper proposes the hybridization of Genetic Algorithm (GA) with well-known Gauss-Newton (GN) method. The performance of considered hybrid algorithm is investigated and compared to well-known conventional optimization algorithms in solving the considered TDOA based localization problem. The simulation results of the proposed optimization method indicate a significant improvement in localization accuracy compared to well-known algorithms. PB - International Scientific Conference on Defensive Technologies (OTEH 2022) C3 - 10th International Scientific Conference on Defensive Technologies OTEH 2022 T1 - TDOA based approach for accurate target localization based on hybrid genetic algorithm EP - 327 SP - 321 UR - https://hdl.handle.net/21.15107/rcub_machinery_5482 ER -
@conference{ author = "Rosić Vitas, Maja and Sedak, Miloš", year = "2022", abstract = "Accurate localization of target based on time difference of arrival (TDOA) measurements is of crucial importance in a large number of different military and civil applications, especially in security systems, radars, sonars etc. This paper focuses on the determining the position of a target from a set of TDOA measurements obtained on several receivers whose positions are known. The considered target localization problem is formulated as the optimization problem, where the corresponding objective function is obtained based on least squares (LS) method. Due to the complexity of the considered problem, the resulting objective function is highly nonlinear and multimodal. Therefore, to solve this complex optimization problem this paper proposes the hybridization of Genetic Algorithm (GA) with well-known Gauss-Newton (GN) method. The performance of considered hybrid algorithm is investigated and compared to well-known conventional optimization algorithms in solving the considered TDOA based localization problem. The simulation results of the proposed optimization method indicate a significant improvement in localization accuracy compared to well-known algorithms.", publisher = "International Scientific Conference on Defensive Technologies (OTEH 2022)", journal = "10th International Scientific Conference on Defensive Technologies OTEH 2022", title = "TDOA based approach for accurate target localization based on hybrid genetic algorithm", pages = "327-321", url = "https://hdl.handle.net/21.15107/rcub_machinery_5482" }
Rosić Vitas, M.,& Sedak, M.. (2022). TDOA based approach for accurate target localization based on hybrid genetic algorithm. in 10th International Scientific Conference on Defensive Technologies OTEH 2022 International Scientific Conference on Defensive Technologies (OTEH 2022)., 321-327. https://hdl.handle.net/21.15107/rcub_machinery_5482
Rosić Vitas M, Sedak M. TDOA based approach for accurate target localization based on hybrid genetic algorithm. in 10th International Scientific Conference on Defensive Technologies OTEH 2022. 2022;:321-327. https://hdl.handle.net/21.15107/rcub_machinery_5482 .
Rosić Vitas, Maja, Sedak, Miloš, "TDOA based approach for accurate target localization based on hybrid genetic algorithm" in 10th International Scientific Conference on Defensive Technologies OTEH 2022 (2022):321-327, https://hdl.handle.net/21.15107/rcub_machinery_5482 .