高超飞行器的天基多尺度异步平台协同探测方法

本文针对多种不同传感器协同探测信息融合过程中的异步融合与时间延迟问题，提出了一种基于多尺度系统理论的多传感器时间配准融合方法。首先，建立单状态多量测的多尺度系统模型。其次，结合尺度递归状态融合算法和有序加权平均策略(OWA)算法，解决了异类传感器间采样率不同而引起的异步融合问题。然后，对融合中心的信息到达情况进行分析，基于OWA算法通过预测补偿方法完成对传感器延迟信息的处理。最后仿真结果表明本文所提方法可以有效解决多传感器协同探测中的异步融合与时间延迟问题。

Space Based Multi-Scale Asynchronous Platform Cooperative Detection Method for Hypersonic Vehicles

Aiming at the problem of asynchronous fusion and time delay in the process of multi-sensor cooperative detection information fusion, a multi-sensor time registration fusion method based on multi-scale system theory is proposed in this paper. Firstly, a multi-scale system model with single state and multi measurements is established. Secondly, combined with scale recursive state fusion algorithm and ordered weighted average strategy (OWA) algorithm, the asynchronous fusion problem caused by different sampling rates among heterogeneous sensors is solved. Then, the information arrival of the fusion center is analyzed, and the sensor delay information is processed by prediction compensation method based on OWA algorithm. Finally, the simulation results show that the proposed method can effectively solve the asynchronous fusion and time delay problems in multi-sensor cooperative detection.