基于排列熵的信道编码不可预测度研究

发布时间：2018-10-22 18:03

【摘要】：传输信息是通信系统的目的所在,而通信系统的有效性和可靠性是其主要的指标。在实际通信信道上传输信号时,由于信道传输特性并不是理想的且有非常严重的噪声影响,在接收信号时会发生错误,这种错误的存在是不可避免的。信道编码是在数据传输/存储中所采用的一种数字处理技术,它能降低系统差错率,提高系统可靠性。在多种多样的信道编码中,FEC(前向纠错编码)是不容忽视的一种,这种编码在发送端进行编码,接收端接收到数据之后,能够根据编码中的数学关系自动纠正通信过程中的错误。同时这种前向纠错编码对于信息传输来说不需要存储空间来存放数据,也不像别的降低系统差错的手段一样需要反馈信息数据等,同时它的实时性还非常不错,因此,在当今许多的数字通信系统都在信道编码方案中使用了前向纠错编码。本文在通过详细分析其理论并较为详尽的阐述信道编解码原理,并在此基础上对通信系统中的RS码和卷积码等前向纠错码以及交织技术进行了基于Matlab的仿真实现和性能分析。而排列熵是一种对信号复杂度的度量,它在反映一维时间序列复杂度方面,具有计算简单,实时性高,抗噪声能力强的特点,本文也对排列熵进行了较为深入的研究,针对其特点,研究排列熵的几个重要参数对排列熵的影响,通过实验的分析,可以在不同的场选择不同的参数来对数据进行分析,这些数据包括排列熵所选取的窗口长度,嵌入的维度以及延迟时间。然后,将其引入纠错编码,实现用排列熵来研究信道编码的随机化能力—不可预测度特性。由于现有的对信道编的评价仅限于其误码率和编码效率,本文的工作就是引入排列熵对信道编码的不可预测度来进行评价,以反映信道编码对数据的随机化能力。
[Abstract]:The purpose of communication system is to transmit information, and the effectiveness and reliability of communication system is its main index. When the signal is transmitted on the actual communication channel, because the channel transmission characteristic is not ideal and has very serious noise influence, there will be errors when receiving the signal, which is inevitable. Channel coding is a digital processing technique used in data transmission / storage. It can reduce system error rate and improve system reliability. In a variety of channel coding, FEC (forward error correction coding is one of the most important. This kind of coding can automatically correct the errors in the communication process according to the mathematical relation of the coding after receiving the data at the transmitter. At the same time, this kind of forward error correction coding does not need storage space to store data for information transmission, and it does not require feedback information data as other ways to reduce system errors. At the same time, its real-time performance is very good, so, Nowadays, many digital communication systems use forward error correction coding in channel coding schemes. In this paper, the theory of channel coding and decoding is analyzed in detail, and the forward error correction codes such as RS code and convolutional code and interleaving technology in communication system are simulated and analyzed based on Matlab. Permutation entropy is a measure of signal complexity. It has the characteristics of simple calculation, high real-time performance and strong anti-noise ability in reflecting the complexity of one-dimensional time series. According to its characteristics, the influence of several important parameters of permutation entropy on permutation entropy is studied. Through experimental analysis, different parameters can be selected in different fields to analyze the data, including the window length chosen by permutation entropy. Embedded dimension and delay time. Then, it is introduced into error-correcting coding to realize the randomization-unpredictable property of channel coding with permutation entropy. Because the existing evaluation of channel coding is limited to its bit error rate and coding efficiency, the work of this paper is to introduce permutation entropy to evaluate the unpredictable degree of channel coding to reflect the randomization ability of channel coding to data.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.22

【共引文献】