摘要
针对非合作通信中时分多址(TDMA)信号的独特码(UW)盲识别问题,该文首次提出分布式独特码的盲识别算法。区别于比特层的独特码识别算法,该文分别针对集中式独特码和分布式独特码,提出面向调制数据不同窗口之间相关性的波形层独特码识别算法。算法利用独特码的一致性与相关性,分两步进行,首先通过差分累积消除不同突发信号间频偏与相偏的影响,来纵向对齐各个突发信号的独特码,然后通过多层差分共轭4阶相关算法识别出独特码的位置和长度。仿真分析了不同突发个数、信噪比和有无频偏相偏情况下算法的性能,验证了波形层识别独特码的有效性,针对集中式独特码和分布式独特码,所提算法在信噪比为5 dB时均达到了95%以上的识别率,具有一定的工程应用价值。
Considering the problem of blind identification of Unique Words(UW)for Time Division Multiple Access(TDMA)signals in non-cooperative communication,a blind identification algorithm for distributed UW is proposed in this paper.Different from the unique codes recognition algorithm at the bit layer,a unique words recognition algorithm at the waveform layer oriented to the correlation is proposed between different windows of the modulated data for centralised unique words and distributed unique words,respectively.The algorithm takes advantage of the consistency and correlation of the unique words and proceeds in two steps:firstly,the unique words of different burst signals are vertically aligned by eliminating the effects of frequency and phase bias between the different burst signals through differential accumulation,and then the positions and lengths of the unique words are identified by the multilayer differential conjugate fourth order correlation algorithm.The performance of the algorithm is simulated and analysed with different number of bursts,signal-to-noise ratios,and with or without frequency and phase biases,and the effectiveness of the waveform layer identification of unique words is verified,and the algorithm achieves more than 95%of the identification rate at a signal-to-noise ratio of 5dB for both centralized and distributed unique words,which is of certain value for engineering applications.
作者
江桦
宋凯飞
邹坤衡
孙鹏
巩克现
张玲
王玮
JIANG Hua;SONG Kaifei;ZOU Kunheng;SUN Peng;GONG Kexian;ZHANG Ling;WANG Wei(School of Electrical and Information Engineering,Zhengzhou University,Zhengzhou 450001,China)
出处
《电子与信息学报》
EI
CAS
CSCD
北大核心
2024年第7期2803-2811,共9页
Journal of Electronics & Information Technology
基金
国家重点研发计划(2019QY0302)
国家自然科学基金(61901417)。
关键词
调制数据
时分多址信号
差分累积
4阶相关
独特码盲识别
Modulated data
Time Division Multiple Access(TDMA)signal
Differential accumulation
Fourth order correlation
Unique Words(UW)blind identification
