| 摘要: |
| 阐述了基于最小描述长度(MDL)方法来进行特征码检测,根据检测量分布的推导结果,提出了检测门限对检测性能、特征码位置不确定性和信噪比变化自适应的MDL特征码检测方法。当基于特征码进行通信信号分选时,新方法具有更好的应用灵活性,且检测性能对频偏具备鲁棒性。 |
| 关键词: 时分多址,信号分选,特征码检测,独特码检测,帧同步,最小描述长度 |
| DOI：10.3969/j.issn.1001-893X. |
| 修订日期：2007-12-07 |
| 基金项目: |
|
| Feature Word Detection of TDMA Bursts Based on the AMDL Approach |
|
| () |
| Abstract: |
| This paper introduces the MDL(minimum information description length) based algorithm which is robust to frequency offset for detection of feature words.An analytical performance investigation is addressed,and it leads to the adaptive MDL(AMDL) approach in which the threshold is self-adaptive.When applied to the signal classification and selection,the new approach is more flexible and feasible,and simulation results show that the detection performance is robust to frequency offset. |
| Key words: TDMA,signal classification and selection,feature word detection,unique word detection,frame synchronization,minimum information description length(MDL) |
《电讯技术》编辑部 