高效调制通信系统拓展与优化研究
发布时间：2019-04-04 10:32
【摘要】：无线电频谱关系到国家政治、军事、经济等各方面的利益,已经成为国家的重要战略性资源。在通信业务快速增长的现在,人们普遍意识到在这种静态固定的频谱分配模式下可用的无线电频谱已经快要耗尽了。因此,同时具有高频谱利用率和高能量利用率的高效传输体制,能最大限度地压缩无线传输频谱,是解决频谱短缺和实现高效通信的有效途径,具有直接的经济效益和重要的战略意义。为了使高效调制通信系统走向实用,高效调制理论和技术仍需发展和完善。本论文重点在提高频谱利用率和解调性能、解决实际应用需求、构思新型体制和施加严格限带几方面对高效调制系统进行了拓展与优化。论文主要工作和创新性成果如下：1.优化了现有的多进制相移键控(MPPSK)调制方式,提高了MPPSK调制的解调性能,分析了不同调制参数对调制信号功率谱的影响；2.将扩展的二元相移键控(EBPSK)调制用于多基地雷达的异步干扰抑制,实现了多基站的测速、测距,可提高二次监视雷达连续跟踪时的自动化水平,并通过双码元匹配滤波提高了系统的检测性能；3.将MPPSK调制拓展到正交载波双路传输,使得频谱效率倍增；进而提出了一种新颖的基于改进MPPSK调制的共信道全双工系统,优化设计了其相干接收机最佳带通滤波器,得到了超出现有同时同频全双工系统的数字域收发隔离度；4.提出了利用冲击滤波器加窄带带通滤波器作为发送端成型滤波器限制带宽,在保证一定解调性能的前提下,降低了成型滤波器的阶数；5.为提高严格限带高效调制系统的解调性能,结合深度学习网络算法,将深度学习算法和网络引入严格限带高效调制信号的特征提取中,提出了基于堆栈降噪稀疏自编码(DSAE)学习算法的严格限带信号的高效解调结构,解调性能表现优异,为实现超奈奎斯特速率通信提供了一种可能；对比了多种深度学习算法的检测性能,并在高斯信道、瑞利衰落信道中分析了堆栈DSAE学习网络的检测性能。
[Abstract]:Radio spectrum is related to the national political, military, economic and other interests, and has become an important strategic resource of the country. With the rapid growth of communication services, it is widely recognized that the radio spectrum available in this static fixed spectrum allocation mode is running out. Therefore, an efficient transmission system with both high spectrum efficiency and high energy efficiency can compress the spectrum of wireless transmission to the maximum extent, and it is an effective way to solve the spectrum shortage and realize efficient communication. It has direct economic benefits and important strategic significance. In order to make the high-efficiency modulation communication system practical, the theory and technology of high-efficiency modulation still need to be developed and perfected. In this paper, the high efficiency modulation system is expanded and optimized in the aspects of improving the spectrum efficiency and demodulation performance, solving the practical application demand, conceptualizing a new system and imposing strict band limit. The main work and innovative results of this paper are as follows: 1. The existing multi-ary phase shift keying (MPPSK) modulation is optimized, the demodulation performance of MPPSK modulation is improved, and the influence of different modulation parameters on the modulation signal power spectrum is analyzed. The extended binary phase shift keying (EBPSK) modulation is used to suppress asynchronous jamming of multi-static radar, and the speed measurement and ranging of multi-base stations are realized, which can improve the automation level of continuous tracking of secondary surveillance radar. At the same time, the detection performance of the system is improved by dual-symbol matched filtering. 3. The MPPSK modulation is extended to the orthogonal carrier dual-channel transmission, which makes the spectrum efficiency multiply. Furthermore, a novel co-channel full-duplex system based on improved MPPSK modulation is proposed, and the optimal band-pass filter of its coherent receiver is optimally designed, and the digital domain transceiver isolation beyond the existing simultaneous co-frequency full-duplex system is obtained. 4. In this paper, the impulse filter and narrow band pass filter are used to limit the bandwidth of the shaping filter at the transmitter end, and the order of the shaping filter is reduced under the premise of certain demodulation performance. 5. In order to improve the demodulation performance of the band-limited high-efficiency modulation system, combined with the deep learning network algorithm, the depth-learning algorithm and the network are introduced into the feature extraction of the strictly band-limited high-efficiency modulation signal. An efficient demodulation structure of strictly band-limited signal based on stack de-noising sparse self-coding (DSAE) learning algorithm is proposed. The performance of demodulation is excellent, which provides a possibility for super-Nyquist rate communication. The detection performance of multiple deep learning algorithms is compared, and the detection performance of stack DSAE learning network is analyzed in Gao Si channel and Rayleigh fading channel.
【学位授予单位】：东南大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：TN914
本文编号：2453728
[Abstract]:Radio spectrum is related to the national political, military, economic and other interests, and has become an important strategic resource of the country. With the rapid growth of communication services, it is widely recognized that the radio spectrum available in this static fixed spectrum allocation mode is running out. Therefore, an efficient transmission system with both high spectrum efficiency and high energy efficiency can compress the spectrum of wireless transmission to the maximum extent, and it is an effective way to solve the spectrum shortage and realize efficient communication. It has direct economic benefits and important strategic significance. In order to make the high-efficiency modulation communication system practical, the theory and technology of high-efficiency modulation still need to be developed and perfected. In this paper, the high efficiency modulation system is expanded and optimized in the aspects of improving the spectrum efficiency and demodulation performance, solving the practical application demand, conceptualizing a new system and imposing strict band limit. The main work and innovative results of this paper are as follows: 1. The existing multi-ary phase shift keying (MPPSK) modulation is optimized, the demodulation performance of MPPSK modulation is improved, and the influence of different modulation parameters on the modulation signal power spectrum is analyzed. The extended binary phase shift keying (EBPSK) modulation is used to suppress asynchronous jamming of multi-static radar, and the speed measurement and ranging of multi-base stations are realized, which can improve the automation level of continuous tracking of secondary surveillance radar. At the same time, the detection performance of the system is improved by dual-symbol matched filtering. 3. The MPPSK modulation is extended to the orthogonal carrier dual-channel transmission, which makes the spectrum efficiency multiply. Furthermore, a novel co-channel full-duplex system based on improved MPPSK modulation is proposed, and the optimal band-pass filter of its coherent receiver is optimally designed, and the digital domain transceiver isolation beyond the existing simultaneous co-frequency full-duplex system is obtained. 4. In this paper, the impulse filter and narrow band pass filter are used to limit the bandwidth of the shaping filter at the transmitter end, and the order of the shaping filter is reduced under the premise of certain demodulation performance. 5. In order to improve the demodulation performance of the band-limited high-efficiency modulation system, combined with the deep learning network algorithm, the depth-learning algorithm and the network are introduced into the feature extraction of the strictly band-limited high-efficiency modulation signal. An efficient demodulation structure of strictly band-limited signal based on stack de-noising sparse self-coding (DSAE) learning algorithm is proposed. The performance of demodulation is excellent, which provides a possibility for super-Nyquist rate communication. The detection performance of multiple deep learning algorithms is compared, and the detection performance of stack DSAE learning network is analyzed in Gao Si channel and Rayleigh fading channel.
【学位授予单位】：东南大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：TN914
【参考文献】
相关期刊论文 前3条
1 王红星;王洪利;毛忠阳;赵志勇;;基于循环谱特性的扩展二元相移键控解调算法[J];电波科学学报;2010年05期
2 冯熳;吴乐南;;统一的BPSK信号功率谱分析[J];电气电子教学学报;2008年06期
3 宋军,曹蕾,钱建生,朱乃鹏;多进制数字基带信号的频谱分析[J];通信技术;2003年06期
相关博士学位论文 前1条
1 宗华;双基地高频雷达数据处理NFE技术研究[D];哈尔滨工业大学;2010年
相关硕士学位论文 前2条
1 李旭森;向下兼容的数字调幅广播系统设计与实现[D];东南大学;2015年
2 朱超越;向下兼容的数字调幅广播算法与设计[D];东南大学;2015年
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