TDOA based approach for accurate target localization based on hybrid genetic algorithm
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2022
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OTEH 2022
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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.
Keywords:
Localization / Optimization / Least Squares / Time Difference of Arrival / Wireless Sensor NetworksSource:
10th International Scientific Conference on Defensive Technologies OTEH 2022, 2022, 321-327Publisher:
- International Scientific Conference on Defensive Technologies (OTEH 2022)
Funding / projects:
- Development of Methodology for Improvement of Operational Performance, Reliability and Energy Efficiency of Machine Systems used in the Resource Industry (RS-MESTD-Technological Development (TD or TR)-35029)
- Sustainability and improvement of mechanical systems in energetic, material handling and conveying by using forensic engineering, environmental and robust design (RS-MESTD-Technological Development (TD or TR)-35006)
- Advanced Techniques for Efficient Use of Spectrum in Wireless Systems (RS-MESTD-Technological Development (TD or TR)-32028)
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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 .