Multi-machine cooperative passive localization based on MEMS/GNSS

Zhang, Zhi; Lu, Hongqian; Ban, Xiaojun; Huang, Xianlin; LIU, Xue-mei

doi:10.37188/ope.2021.0285

Cited by 3 publications

(1 citation statement)

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“…De Souza and Miguel [1] put forward a new meta-heuristic optimization algorithm, which is specially used to solve constrained and unconstrained engineering optimization problems and is also helpful in solving complex optimization problems accurately and quickly. Zhang et al [2] put forward an optimization algorithm for locating non-cooperative moving targets in space by using two or more UAVs with known positioning information, ensuring optimal and reliable global positioning results. Yan et al [3] proposed an approximate centroid calculation method, which improved the positioning accuracy of wireless sensor networks based on RSSI ranging.…”

Section: Introductionmentioning

confidence: 99%

UAV Tunnel Formation Based on Bearing-only Passive Location Optimization Algorithm

Peng,

Huang

2023

J. Phys.: Conf. Ser.

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In the actual bearing-only passive UAV positioning system, both the controller and receiver are in non-standard positions. Three-point positioning cannot be carried out simply by a geometric algorithm. This study introduces positioning only by bearing-only information transmission without considering increasing the complexity of system sensors. When the circular formation and conical formation of UAVs are in abnormal positions to locate the unit and adjust it to the standard position, the error distance between the original position and its accurate position is taken as the target, and an iterative optimization model is established. The positions of other UAVs are revised according to the transmitter position information. Finally, the ideal error position information is obtained, which is regarded as the adjustment of the whole unit distance to the standard distance.

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Section: Introductionmentioning

confidence: 99%