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作 者:闫红超[1] 杨松[1] YAN Hong-chao YANG Song(The 54th Research Institute of CETC ,Shijiazhuang Hebei 050081, China)
机构地区:[1]中国电子科技集团公司第五十四研究所,河北石家庄050081
出 处:《无线电通信技术》2016年第6期52-55,共4页Radio Communications Technology
基 金:国家部委基金资助项目
摘 要:针对非协作通信中短猝发信号准确接收的需求,在对短猝发信号进行建模的基础上,提出了一种基于极大似然准则的短猝发信号盲解调算法。根据极大似然准则,对前期信号参数估计得到的可能码元个数集合进行搜索处理,获取不同码元个数对应的第一个码元起始点位置,计算相应的重构信号与接收信号的似然度,据此实现短猝发信号码元个数的准确估计并恢复符号序列。应用二进制方波信号对盲解调算法进行仿真,仿真结果表明,当短猝发信号码元个数>8个,信噪比>10 d B时,码元个数估计正确率能够达到95%以上,解调效果良好。Aiming at the demand for blind demodulation for short burst signals, a blind demodulation algorithm for short burst signals based on maximum likelihood rules is presented based on short burst signal modeling. According to the maximum likelihood rules,the possible number of symbol estimated from the preceding signal parameters are searched and processed to obtain the start point of the first symbol, and the relevant likelihood of reconstitution signals and receiving signals are calculated. The exact estimation of symbol number of short burst signals is realized and the symbol sequence is restored.The blind demodulation algorithm is simulated by using binary quare wave signals,and the results show that the the correctness of symbol number estimation can be more than 95% and the demodulation effect is better when the symbol number of short burst signal is more than 8 and the signal-noise ratio is more than 10 dB.
分 类 号:TN911[电子电信—通信与信息系统]
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