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作 者:吴琳 李博雅 龚乃发 唐玉文 WU Lin;LI Boya;GONG Naifa;TANG Yuwen(Air Force EarlyWarning Academy,Wuhan 430019,China)
机构地区:[1]空军预警学院,武汉430019
出 处:《空天预警研究学报》2023年第1期41-44,52,共5页JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH
基 金:空军预警学院雷达士官学校科研预研基金项目(2022ZCLD-YB-12-06)。
摘 要:针对现有RS码参数盲识别算法在误码情况下识别率不佳且不能及时识别信息位的问题,提出了一种基于离群值的RS码识别方法.该方法将截获到的等价二进制线性分组码映射到GF(2m)域构造分析矩阵,通过遍历该符号数下所有的本原多项式构造编码域,在不同编码域中对分析矩阵进行高斯列消元;然后利用离群值对消元后的分析矩阵进行统计分析,以此识别出码长、本原多项式和信息位;最后通过伽罗华域傅里叶变换(GFFT)识别生成多项式.仿真结果表明,该方法在误比特率为4×10-3时,所有码型的识别概率均可达到90%,整体识别性能较好.Aiming at the problem that the existing blind recognition algorithm of RS code parameter has poor recognition rate and cannot recognize information bit in time under the condition of bit error,this paper proposes a RS code recognition method based on outlier value.In this method,the intercepted equivalent binary linear block code is mapped to GF(2m)field to construct the analysis matrix.The coding domain is constructed by traversing all the primitive polynomials under the symbolic number,and the analysis matrix is eliminated by Gaussian column in different coding domains.Then,the outliers are used to carry out statistical analysis of the analysis matrix after the elimination,and the code length,primitive polynomials and information bit are recognized.Finally,the polynomial is generated by Galois Field Fourier transform(GFFT)recognition.Simulation results show that when the bit error rate of the proposed method is,the recognition probability of all code types can reach 90%,with good overall recognition performance.
分 类 号:TN911[电子电信—通信与信息系统]
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