欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对异地配置的雷达与ESM航迹关联问题,传统的统计类方法对逐条航迹采用检验假设的思想进行关联决策,没有利用多目标间的空间分布信息。首先基于距离信息和空间分布信息,获取所有交叉点,将所有的交叉点分成若干排列组合;基于距离信息的预处理减少了可能关联组合的数目,提高了运算速度;基于分布曲线相似的灰关联方法充分利用了多目标的空间分布信息;最后对多个时刻的关联结果进行处理,获得最终关联结果。仿真结果表明,该方法能够快速有效地实现雷达与ESM的航迹关联。
英文摘要：
The track association of radar and Electronic Support Measure （ESM） at different sites is researched. The traditional algorithms based on statistics make decision of association for each track by hypothesis testing without making full use of the spatial distribution information of multiple targets. In this paper, the range and space distribution information is utilized for obtaining all the crossing points, which are divided into several combinations. Pretreatment based on range information is used to eliminate some false combinations and raise the speed of operation. The space distribution information of multiple targets is fully utilized by gray correlation based on the similarity. The final association results can be obtained by processing of several history association results. The simulation results show that proposed algorithm can accomplish the track association of radar and ESM quickly and effectively.
同期刊论文项目
同项目期刊论文
Joint systematic error estimation algorithm for radar and automatic dependent surveillance broadcast
Data Reduction with Quantization Constraints for Decentralized Estimation in Wireless Sensor Network
A New Noise-compensated Estimation Scheme for Multichannel Autoregressive Signals from Noisy Observa
Dual-Decomposition Approach for Distributed Optimization in Wireless Sensor Networks, Wireless Algor
Adaptive range-spread target detection based on modified generalised likelihood ratio test in non-Ga
Diffusion-based EM Algorithm for Distributed Estimation of Gaussian Mixtures in Wireless Sensor Netw
Robust Distributed Fusion for System with Randomly Uncertain Sensor Estimation Error Cross-Covarianc
期刊信息
位置：