Abstract
For the problems of passive localization of targets by multiple azimuths only between infrared sensors and large detection errors of radar sensors, the paper proposes a nonlinear weighted least squares cooperative localization algorithm based on multiple radar/infrared. The algorithm first constructs a composite localization model with a combination of multiple radar and infrared sensors, then set up a nonlinear weighted least squares localization optimization model based on the statistical properties of the measurement mistake, and solves the localization by Gauss-Newton iterative method. The numerical simulation results show that the method can obtain highly accurate target localization values by fusing multiple information such as angle and distance.
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Liu, Y., Li, D., Zhang, Y. (2023). Non-linear Weighted Least Squares Cooperative Localization Based on Multi Radar/Infrared. In: Fu, W., Gu, M., Niu, Y. (eds) Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). ICAUS 2022. Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore. https://doi.org/10.1007/978-981-99-0479-2_302
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DOI: https://doi.org/10.1007/978-981-99-0479-2_302
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