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1. 军事科学院 系统工程研究院, 北京 100020
2. 93236部队, 北京 100085
3. 武警工程大学, 陕西 西安 710086
Received:22 February 2022,
Published Online:19 July 2023,
Published:30 June 2023
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Weijia WANG, Yubing WANG, Jin TIAN, et al. Optimal Configuration of Aircraft Swarm’s Active Localization with One Transmitter and Multiple Receivers[J]. Acta Armamentarii, 2023, 44(6): 1655-1664.
Weijia WANG, Yubing WANG, Jin TIAN, et al. Optimal Configuration of Aircraft Swarm’s Active Localization with One Transmitter and Multiple Receivers[J]. Acta Armamentarii, 2023, 44(6): 1655-1664. DOI: 10.12382/bgxb.2022.0104.
针对航空集群一发多收有源协同定位运用问题
研究一发多收有源协同定位最优构型与航迹优化方法
进一步提升有源协同定位效果。建立一发多收有源协同定位模型
分别基于 A优化准则与D优化准则推导不同接收机数目情况下航空集群有源定位对目标进行定位的最优几何构型
推导出最优构型的解析解
为航空集群航迹优化提供理论支撑;将得到的最优构型运用到航空集群航迹优化中
提出基于A/D准则的航空集群有源定位航迹优化方法。通过仿真实验
航迹优化后的航空集群一发多收有源定位精度有较大幅度提升
说明航迹优化在航空集群有源协同定位的有效性。
To address the problems in the application of aircraft swarms in active cooperative localization with one transmitter and multiple receivers
the optimal configuration and the trajectory optimization method for active cooperative localization are studied to further improve the localization accuracy. Firstly
the model of active cooperative localization using one transmitter and multiple receivers is established. Based on this model
the optimal geometric configuration of target localization with different number of receivers is derived based on A-optimality criterion and D-optimality criterion respectively
and the analytical solution of the optimal configuration is analyzed to provide theoretical support for the aircraft swarm’s trajectory optimization. Secondly
the obtained optimal configuration is applied to the aircraft swarm’s trajectory planning and an active localization method based on A/D-optimality criteria is proposed. Through simulation experiments
the accuracy of active localization for the aircraft swarm with one transmitter and multiple receivers after trajectory optimization has been significantly improved
indicating the effectiveness of trajectory optimization in active cooperative localization for aircraft swarms.
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ZHANG Y F , LIN D F , ZHENG D , et al . Task allocation and trajectory optimization of UAV for multi-target time-space synchronization cooperative attack [J ] . Acta Armamentarii , 2021 , 42 ( 7 ): 1482 - 1495 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2021.07.016 http://doi.org/10.3969/j.issn.1000-1093.2021.07.016 A task allocation and trajectory optimization algorithm for multi-target attack is proposed for the coordinated attack task of distributed UAVs attacking multiple targets in a complex battlefield environment. The typical multi-target strike mission scenarios and UAV models are established. A search map with no-fly zones as nodes is constructed based on Delaunay triangle theory. A<sup>*</sup> algorithm is used to achieve the least threatening single-aircraft path search. In terms of UAV dynamics constraints and minimum energy loss, the time adjustment factor is introduced and the distributed UAV time-space synchronization trajectory optimization method based on Bezier curve is adopted to obtain the optimized trajectory for simultaneous attack on multiple targets. A trajectory tracking controller was designed for simulation track of pre-planned trajectory. The simulated results show that the proposed multi-target attack task allocation and trajectory optimization method can achieve multi-angle, time-space synchronization, and distributed coordinated attack on multiple targets, and it has strong robustness against interference such as noise and wind gusts.
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