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1. 海军航空大学航空基础学院,山东 烟台 264001
2. 海军航空大学航空作战勤务学院,山东 烟台264001
3. 海军航空兵第二师电子对抗雷达声纳中心,山东 莱阳265200
[ "钟兆根(1984-),男,江西南昌人,博士,海军航空大学讲师,主要研究方向为通信信号盲分离与统计信号处理。" ]
[ "吴昭军(1992-),男,四川遂宁人,海军航空大学博士生,主要研究方向为信道编码盲识别。" ]
[ "张立民(1966-),男,辽宁开原人,博士,海军航空大学教授,主要研究方向为卫星信号处理及应用。" ]
[ "王志青(1987-),男,山东临沂人,海军航空兵第二师电子对抗雷达声纳中心助理工程师,主要研究方向为航空电子对抗数据分析与处理。" ]
网络出版日期:2018-10,
纸质出版日期:2018-10-25
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钟兆根, 吴昭军, 张立民, 等. 基于对数符合度下的RSC码识别[J]. 通信学报, 2018,39(10):79-86.
Zhaogen ZHONG, Zhaojun WU, Limin ZHANG, et al. Blind recognition of RSC based on logarithmic conformity[J]. Journal on communications, 2018, 39(10): 79-86.
钟兆根, 吴昭军, 张立民, 等. 基于对数符合度下的RSC码识别[J]. 通信学报, 2018,39(10):79-86. DOI: 10.11959/j.issn.1000-436x.2018211.
Zhaogen ZHONG, Zhaojun WU, Limin ZHANG, et al. Blind recognition of RSC based on logarithmic conformity[J]. Journal on communications, 2018, 39(10): 79-86. DOI: 10.11959/j.issn.1000-436x.2018211.
提出了一种基于对数符合度下的识别新算法。首先,从总的 RSC 码编码方程成立概率出发,引入能够很好衡量编码方程成立大小的对数符合度概念,其次,从 RSC 码约束长度较小特征出发,构建出编码约束长度为3~7的多项式数据库,通过遍历构建的数据库多项式,计算多项式所对应的对数符合度值,最后,查找最大的对数符合度值所对应的多项式,即完成多项式识别。该算法只需遍历所构建的RSC码多项式库,减少遍历次数,其计算量大大减少;由于算法直接利用的是未经量化的软判决信息,所以具有较强的低信噪比适应性。仿真结果表明:在较低的信噪比条件下,参数的识别率能达到90%以上,同时与现有算法相比,所提算法对参数的识别性能与时效性具有明显的优势。
A new algorithm based on logarithmic conformity was proposed.Firstly
based on the probability of total RSC coding equation
the concept of logarithmic coincidence degree
which could measure the establishment of coding equation
was introduced.Then because of constraint length of RSC
the polynomial database could be generated
and then logarithmic conformity of every polynomial could be calculated when traversing the database.As the results
the RSC could be recognized
because the correct polynomial could make the conformity maximum.The algorithm has small amount of calculation because of finite traversal
which was only related to amount of intercepted data
besides
this algorithm has good error tolerance by soft decisions.The simulation results show that the correct ratio of recognition can reach 90% at SNR of 0 dB and its performances are obviously superior to those of existing algorithms.
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