| 摘要: |
| 多节点采集信号关联是多无人机协同信号处理的关键前置步骤。为了解决通信受限条件下多节点信号快速关联问题，提出了一种基于抽取互相关检测的信号快速关联算法，各无人机节点将抽取后的信号传输至数据处理节点进行互相关判决，从而实现信号的快速关联。为了在保证关联性能的同时提升关联速度，基于方差伽马分布推导了抽取互相关检测的性能描述模型，基于该模型实现了对算法参数的优化配置。仿真结果表明，与高斯近似性能描述模型相比，所提性能描述模型更加精确，采用该模型优化的算法在满足关联性能的前提下能够有效降低通信流量需求，提升关联速度。 |
| 关键词: 多无人机协同 信号关联 通信受限条件 抽取互相关检测 方差伽马分布 |
| DOI：10.20079/j.issn.1001-893x.220329005 |
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| 基金项目: |
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| A fast signal association algorithm for multi-node under limited communication conditions |
| ZHU Mingjun,HUANG Yuanling,JI Xiaoting |
| (1.School of Information and Systems Engineering,PLA Strategic Support Force Information Engineering University,Zhengzhou 450001,China;2.National Key Laboratory of Science and Technology on Blind Signal Processing,Chengdu 600041,China) |
| Abstract: |
| The association of signals collected by multi-node is a key pre-step of multiple unmanned aerial vehicle(UAV) cooperative signal processing.In order to solve the problem of rapid signal association of multi-node under communication limited conditions,a fast signal association algorithm based on extraction correlation detection is proposed.Each UAV node transmits the extracted signal to the data processing node for cross-correlation decision,so as to achieve a rapid correlation of signals.To ensure the association performance and improve the correlation speed,the corresponding performance description model is derived,according to variance gamma distribution,so as to guide the setting of algorithm parameters.The simulation results show that the proposed performance description model is more accurate than the Gaussian Approximation Model.The algorithm optimized by the proposed model can effectively reduce the communication traffic demand and increase the correlation speed while meeting the association performance. |
| Key words: multi-UAV cooperation signal association limited communication condition extract correlation detection variance Gaussian distribution |
《电讯技术》编辑部 