Hybrid Genetic Optimization Method for Accurate Target Localization
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2018
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OTEH 2018
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This paper considers the problem of estimating the position of a target based on the time of arrival (TOA) measurements from a set of receivers whose positions are known. The weighted least square (WLS) technique is applied as an efficient existing approach. The optimization problem is formulated by the minimization of the sum of squared residuals between estimated and measured data as the objective function. The hybrid Genetic Algorithm-Nelder-Mead (GA-NM) method is proposed that combines the global search and local search abilities in an effective way in order to improve the performance and the solution accuracy. The corresponding Cramer-Rao lower bound (CRLB) on the localization errors is derived as a benchmark. Simulation results show that the proposed hybrid GA-NM method achieves a significant performance improvement compared to existing methods.
Keywords:
Localization / Optimization / Time of Arrival / Genetic Algorithm / Nelder-MeadSource:
Proceedings of the 8th International Scientific Conference on Defensive Technologies, OTEH 2018, 2018, 367-372Publisher:
- Belgrade : Military Technical Institute
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Mašinski fakultetTY - CONF AU - Rosić Vitas, Maja AU - Simić, Mirjana AU - Pejović, Predrag V. PY - 2018 UR - https://machinery.mas.bg.ac.rs/handle/123456789/6028 AB - This paper considers the problem of estimating the position of a target based on the time of arrival (TOA) measurements from a set of receivers whose positions are known. The weighted least square (WLS) technique is applied as an efficient existing approach. The optimization problem is formulated by the minimization of the sum of squared residuals between estimated and measured data as the objective function. The hybrid Genetic Algorithm-Nelder-Mead (GA-NM) method is proposed that combines the global search and local search abilities in an effective way in order to improve the performance and the solution accuracy. The corresponding Cramer-Rao lower bound (CRLB) on the localization errors is derived as a benchmark. Simulation results show that the proposed hybrid GA-NM method achieves a significant performance improvement compared to existing methods. PB - Belgrade : Military Technical Institute C3 - Proceedings of the 8th International Scientific Conference on Defensive Technologies, OTEH 2018 T1 - Hybrid Genetic Optimization Method for Accurate Target Localization EP - 372 SP - 367 UR - https://hdl.handle.net/21.15107/rcub_machinery_6028 ER -
@conference{ author = "Rosić Vitas, Maja and Simić, Mirjana and Pejović, Predrag V.", year = "2018", abstract = "This paper considers the problem of estimating the position of a target based on the time of arrival (TOA) measurements from a set of receivers whose positions are known. The weighted least square (WLS) technique is applied as an efficient existing approach. The optimization problem is formulated by the minimization of the sum of squared residuals between estimated and measured data as the objective function. The hybrid Genetic Algorithm-Nelder-Mead (GA-NM) method is proposed that combines the global search and local search abilities in an effective way in order to improve the performance and the solution accuracy. The corresponding Cramer-Rao lower bound (CRLB) on the localization errors is derived as a benchmark. Simulation results show that the proposed hybrid GA-NM method achieves a significant performance improvement compared to existing methods.", publisher = "Belgrade : Military Technical Institute", journal = "Proceedings of the 8th International Scientific Conference on Defensive Technologies, OTEH 2018", title = "Hybrid Genetic Optimization Method for Accurate Target Localization", pages = "372-367", url = "https://hdl.handle.net/21.15107/rcub_machinery_6028" }
Rosić Vitas, M., Simić, M.,& Pejović, P. V.. (2018). Hybrid Genetic Optimization Method for Accurate Target Localization. in Proceedings of the 8th International Scientific Conference on Defensive Technologies, OTEH 2018 Belgrade : Military Technical Institute., 367-372. https://hdl.handle.net/21.15107/rcub_machinery_6028
Rosić Vitas M, Simić M, Pejović PV. Hybrid Genetic Optimization Method for Accurate Target Localization. in Proceedings of the 8th International Scientific Conference on Defensive Technologies, OTEH 2018. 2018;:367-372. https://hdl.handle.net/21.15107/rcub_machinery_6028 .
Rosić Vitas, Maja, Simić, Mirjana, Pejović, Predrag V., "Hybrid Genetic Optimization Method for Accurate Target Localization" in Proceedings of the 8th International Scientific Conference on Defensive Technologies, OTEH 2018 (2018):367-372, https://hdl.handle.net/21.15107/rcub_machinery_6028 .