信道编码盲识别算法研究与实现
发布时间：2019-01-02 09:24
【摘要】：信道编码技术是现代通信系统中广泛应用的技术,纠错码和扰码是其中重要的编码方式。信道编码的盲识别技术是对编码参数的逆向识别,在通信领域有着重要的应用价值。本文主要围绕信道编码的盲识别算法展开研究,完成的工作如下:1)对信道编码盲识别领域一些现有的算法进行了研究。对二进制线性分组码、RS码、卷积码和扰码的一些盲识别算法的性能表现进行了对比,重点研究了基于线性矩阵分析的盲识别方法,基于Walsh-Hadamard变换的含错方程求解算法,以及基于OMP算法的卷积码识别算法,完成算法的MATLAB仿真,并进行了基于TMS320C6678DSP的实现,验证了算法在硬件平台上的正确性。2)本文在伽罗华域傅里叶变换(Galois Field Fourier Transform,GFFT)法的基础上,研究一种改进的RS码盲识别方案。该方法避免了在未知码长时对接收序列遍历进行GFFT的大量计算,且有较好的抗误码性能。3)针对低信噪比情况下自同步扰码的识别问题,提出了基于软判决求解含错方程的盲识别方法,主要通过提取软判决序列中比特的可靠度信息,来寻找真正的扰码多项式。仿真实验表明,相比于基于硬判决的Walsh-Hadamard变换算法,该方法在低信噪比下的容错性能较好。4)针对自同步扰码器的输入序列为RS码的情况,研究一种自同步扰码的盲识别算法。该方法先识别出RS码的等价分组码长,再遍历可能的多项式对扰码序列进行抽取,引入一种新的零元素熵函数差值来识别扰码多项式。仿真验证了该算法可以对RS码的自同步扰码进行有效的盲识别。
[Abstract]:Channel coding technology is widely used in modern communication systems, error correction codes and scrambling codes are important coding methods. The blind recognition technique of channel coding is the reverse recognition of coding parameters, which has important application value in the field of communication. This paper mainly focuses on the blind recognition algorithm of channel coding. The work accomplished is as follows: 1) some existing algorithms in the field of channel coding blind recognition are studied. The performance of some blind recognition algorithms of binary linear block code, RS code, convolutional code and scrambling code are compared. The blind identification method based on linear matrix analysis and the algorithm of solving error-containing equation based on Walsh-Hadamard transform are studied. And the convolutional code recognition algorithm based on OMP algorithm, complete the MATLAB simulation of the algorithm, and based on the implementation of TMS320C6678DSP, verify the correctness of the algorithm on the hardware platform. 2) this paper in the Galois domain Fourier transform (Galois Field Fourier Transform, Based on GFFT method, an improved blind recognition scheme for RS codes is studied. This method avoids a large amount of GFFT computation for receiving sequence traversal when the code length is unknown, and has good anti-error performance. 3) for the problem of self-synchronization scrambling code recognition under low SNR, the proposed method can be used to solve the problem of self-synchronization scrambling code in the presence of low signal to noise ratio (SNR). A blind recognition method based on soft decision to solve the error-containing equation is proposed. The real scrambling polynomial is found by extracting the reliability information of bits in the soft decision sequence. Simulation results show that compared with the Walsh-Hadamard transform algorithm based on hard decision, this method has better fault-tolerant performance at low SNR. 4) for the case that the input sequence of the self-synchronous scrambler is RS code, A blind recognition algorithm for self-synchronous scrambling codes is studied. In this method, the equivalent block length of RS codes is recognized first, then the scrambling sequences are extracted by traversing possible polynomials, and a new difference of zero element entropy function is introduced to identify scrambling polynomials. Simulation results show that the algorithm can be used for blind recognition of self-synchronous scrambling codes of RS codes.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN911.22
[Abstract]:Channel coding technology is widely used in modern communication systems, error correction codes and scrambling codes are important coding methods. The blind recognition technique of channel coding is the reverse recognition of coding parameters, which has important application value in the field of communication. This paper mainly focuses on the blind recognition algorithm of channel coding. The work accomplished is as follows: 1) some existing algorithms in the field of channel coding blind recognition are studied. The performance of some blind recognition algorithms of binary linear block code, RS code, convolutional code and scrambling code are compared. The blind identification method based on linear matrix analysis and the algorithm of solving error-containing equation based on Walsh-Hadamard transform are studied. And the convolutional code recognition algorithm based on OMP algorithm, complete the MATLAB simulation of the algorithm, and based on the implementation of TMS320C6678DSP, verify the correctness of the algorithm on the hardware platform. 2) this paper in the Galois domain Fourier transform (Galois Field Fourier Transform, Based on GFFT method, an improved blind recognition scheme for RS codes is studied. This method avoids a large amount of GFFT computation for receiving sequence traversal when the code length is unknown, and has good anti-error performance. 3) for the problem of self-synchronization scrambling code recognition under low SNR, the proposed method can be used to solve the problem of self-synchronization scrambling code in the presence of low signal to noise ratio (SNR). A blind recognition method based on soft decision to solve the error-containing equation is proposed. The real scrambling polynomial is found by extracting the reliability information of bits in the soft decision sequence. Simulation results show that compared with the Walsh-Hadamard transform algorithm based on hard decision, this method has better fault-tolerant performance at low SNR. 4) for the case that the input sequence of the self-synchronous scrambler is RS code, A blind recognition algorithm for self-synchronous scrambling codes is studied. In this method, the equivalent block length of RS codes is recognized first, then the scrambling sequences are extracted by traversing possible polynomials, and a new difference of zero element entropy function is introduced to identify scrambling polynomials. Simulation results show that the algorithm can be used for blind recognition of self-synchronous scrambling codes of RS codes.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN911.22
【参考文献】
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