| 摘要: |
| 针对多源信号关联难度大、关联准确率低的问题，利用同一目标平台上搭载的多个辐射源信号具有一致的动态变化趋势这一特点，提出一种利用相位差特征的多源信号关联方法。已知阵列形式和侦测点位置，通过对侦收到的多个辐射源信号进行处理，获取相位差信息并累积形成相位差变化趋势；对比提取疑似相似段，根据相似性判决策略进行有效关联。该方法能有效避免不同传感器对位置测量的误差影响，相比传统基于位置信息关联的方法，能有效提升关联准确率。仿真和实测数据分析证明了该方法的有效性，在阵列形式和侦测点位置已知的条件下该方法具有重要工程意义。 |
| 关键词: 多源信号关联 相位差 动态趋势 相似性判决 |
| DOI： |
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| 基金项目:所级技术创新基金项目（H18004.1） |
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| Multi-source Signal Correlation Based on Variation Trend of Phase Difference |
| ZHANG Meng |
| (Southwest China Institute of Electronic Technology,Chengdu 610036,China) |
| Abstract: |
| In order to overcome the difficulties and conquer the low accuracy in correlating multi-source signals,a novel method is proposed to correlate multi-source signals by phase difference features,which takes advantage of consistency between dynamic variation tendencies of multiple signals from emitters on the same platform.If the array form and the location of detection points are known,phase differences are obtained by processing multiple emitters’ signals,and their variation tendencies are accumulated.Then,by extracting and comparing phase difference variation tendencies,similar subsequences are correlated by similarity decision criterion.This novel method can avoid influences of heterogeneous sensors on position estimation errors.Compared with conventional location-based correlation methods,the proposed method can effectively increase the correlation accuracy.Simulated and measured data is analyzed to verify the availability of the method.This method is of good industrial significance when the array form and the location of detection points are known. |
| Key words: multi-source signal correlation phase difference variation trend similarity decision |
