| 摘要: |
| 时分多址（Time Division Multiple Access，TDMA）信号用户分离作为TDMA信号第三方侦收的重要环节，是后续用户内涵信息解译组报、目标测向定位的前提条件。在未知网台规格情况下，无法通过解译用户ID或网控信令的方式对多用户进行分离。基于TDMA信号物理层特征，提出了一种基于DBSCAN（Ddensity-based Spatial Clustering of Applications with Noise）聚类算法的TDMA信号用户盲分离方法。通过对TDMA信号的时频域特征进行提取和聚类，实现对多用户突发时隙进行分离，并利用仿真数据和实际网台数据进行了算法验证。该算法具有良好的抗噪声性能和较高的正确分选率。 |
| 关键词: TDMA 用户分离 信号特征 DBSCAN |
| DOI： |
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| 基金项目: |
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| A blind user separation method for TDMA signals |
| WANG Ming,SU Wuge,ZHANG Ming,ZHENG Chao,HUANG Binggang,PENG Qiang |
| (Southwest Electronic and Telecommunication Technology Research Institute,Chengdu 610041,China) |
| Abstract: |
| Time division multiple access(TDMA) signal user separation is an important part of the third party’s TDMA signal detection and reception,and it is the prerequisite for the subsequent user connotation information interpretation,grouping and target lateral positioning.In the case of unknown network specifications,it is impossible to separate multiple users by interpreting user IDs or network control signaling.Based on the physical layer characteristics of TDMA signals,this paper proposes 〖JP2〗a blind separation method for TDMA signal users based on density-based spatial clustering of applications with noise(DBSCAN) clustering algorithm.By extracting and clustering the time-frequency domain features of TDMA signals,the multi-user burst slots are separated,and the algorithm is validated by using the simulation data and the actual network data.The proposed method is featured by good anti-noise performance and high correct sorting rate. |
| Key words: TDMA user separation signal characteristic density-based spatial clustering of applications with noise(DBSCAN) |
