TDOA approach for target localization based on improved genetic algorithm
Само за регистроване кориснике
2017
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
This paper presents a target localization problem based on the time difference of arrival (TDOA) measurements by employing an improved genetic algorithm (GA) for estimation. The weighted least square (WLS) technique is applied as an efficient existing approach. The TDOA target localization problem is formulated as an optimization problem, with a highly nonlinear and multimodal objective function. The hybrid Genetic Algorithm - Newton-Raphson (GA-NR) has been proposed as high accuracy and global convergence algorithm in this sense. Finally, the simulation results of the proposed optimization method show a significant performance improvement over existing WLS approach.
Кључне речи:
Wireless Sensor Networks / Time Difference of Arrival / Signal-to-noise ratio / Optimization / LocalizationИзвор:
24th Telecommunications Forum, TELFOR 2016, 2017Издавач:
- Institute of Electrical and Electronics Engineers Inc.
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Rosić Vitas, Maja AU - Simić, Mirjana AU - Lukić, Petar PY - 2017 UR - https://machinery.mas.bg.ac.rs/handle/123456789/2675 AB - This paper presents a target localization problem based on the time difference of arrival (TDOA) measurements by employing an improved genetic algorithm (GA) for estimation. The weighted least square (WLS) technique is applied as an efficient existing approach. The TDOA target localization problem is formulated as an optimization problem, with a highly nonlinear and multimodal objective function. The hybrid Genetic Algorithm - Newton-Raphson (GA-NR) has been proposed as high accuracy and global convergence algorithm in this sense. Finally, the simulation results of the proposed optimization method show a significant performance improvement over existing WLS approach. PB - Institute of Electrical and Electronics Engineers Inc. C3 - 24th Telecommunications Forum, TELFOR 2016 T1 - TDOA approach for target localization based on improved genetic algorithm DO - 10.1109/TELFOR.2016.7818752 ER -
@conference{ author = "Rosić Vitas, Maja and Simić, Mirjana and Lukić, Petar", year = "2017", abstract = "This paper presents a target localization problem based on the time difference of arrival (TDOA) measurements by employing an improved genetic algorithm (GA) for estimation. The weighted least square (WLS) technique is applied as an efficient existing approach. The TDOA target localization problem is formulated as an optimization problem, with a highly nonlinear and multimodal objective function. The hybrid Genetic Algorithm - Newton-Raphson (GA-NR) has been proposed as high accuracy and global convergence algorithm in this sense. Finally, the simulation results of the proposed optimization method show a significant performance improvement over existing WLS approach.", publisher = "Institute of Electrical and Electronics Engineers Inc.", journal = "24th Telecommunications Forum, TELFOR 2016", title = "TDOA approach for target localization based on improved genetic algorithm", doi = "10.1109/TELFOR.2016.7818752" }
Rosić Vitas, M., Simić, M.,& Lukić, P.. (2017). TDOA approach for target localization based on improved genetic algorithm. in 24th Telecommunications Forum, TELFOR 2016 Institute of Electrical and Electronics Engineers Inc... https://doi.org/10.1109/TELFOR.2016.7818752
Rosić Vitas M, Simić M, Lukić P. TDOA approach for target localization based on improved genetic algorithm. in 24th Telecommunications Forum, TELFOR 2016. 2017;. doi:10.1109/TELFOR.2016.7818752 .
Rosić Vitas, Maja, Simić, Mirjana, Lukić, Petar, "TDOA approach for target localization based on improved genetic algorithm" in 24th Telecommunications Forum, TELFOR 2016 (2017), https://doi.org/10.1109/TELFOR.2016.7818752 . .