宽带无线通信系统盲均衡技术研究
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摘要
新一代无线通信系统要求极大的数据传输速率和可靠的服务质量,因此对无线网络物理层提出了更高的要求。在高速数据传输条件下,无线信道的频率选择性会严重影响信号的质量,产生码间干扰。针对码间干扰对通信质量的影响,均衡技术被应用到通信系统中以降低或消除由此带来的性能下降。由于结构简单,性能可靠,均衡技术使得无线通信系统通信质量有很大提高。
本文研究的主要内容为信道均衡技术。总结了无线通信系统的技术研究概况,分析了下一代无线通信系统的技术演进,概括了信道均衡技术的基本理论和算法,完成了一系列实验仿真和性能分析,总结了它们的应用。其中特别推导和仿真实现了几项新型均衡技术,包括Turbo均衡算法和高阶谱盲均衡算法,这些都具有重要的意义和价值。本文的创新工作还包括提出了两种新的盲均衡算法,通过应用信号处理领域的一些新进展,我们提出的盲均衡算法在仅增加少量计算复杂度的基础上,明显地改善了均衡效果,相应的仿真实验证实了算法的优异性能。
本文的核心工作和创新点主要体现在以下几个方面:
1.研究了均衡的理论和准则,对典型的自适应均衡算法和均衡器进行了分析并完成了计算机仿真实验,其中包括仿真实现目前的新型Turbo均衡算法。
2.对盲均衡算法和盲均衡器作了深入分析,对典型的盲均衡器完成了计算机仿真和性能分析,其中包括广泛研究的恒模均衡器和新型的高阶统计量均衡器。
3.提出了一种基于自适应凸组合的恒模盲均衡算法,该算法利用了自适应信号处理领域的新进展,避免了恒模盲均衡器步长的影响,因此收敛速度快,稳态性能好,仿真实验证实了新算法的优异性能。
4.提出了一种混合结构的MMSE类盲均衡算法,该算法结构利用最优化理论的相应结果,综合了两种不同类型MMSE均衡器的优点,具有优异的性能。仿真实验验证了该算法的优点。
5.对提出的两种新算法进行了硬件实现。采用了基于ADSP-21160的硬件平台进行了相应的实验,为新算法在实际通信系统中的应用和实现奠定了基础。
Next generation wireless communication system imposes high standard for the data transportation rate and quality of service, which require new and more advanced physical layer technologies to support. Under the condition of high throughput rate, the frequency-selective property will severely degrade the signal quality in the receiver, causing unacceptable inter-code interference (ICI). For the sake of reducing or eradicating such negative influence and improving the system's performance, with high reliability and easy implementing structure, equalization technologies have been proposed and widely applied in the communication systems.
The main work of this thesis is to research the channel equalization technologies. Firstly the technological improments of wireless communication are summarized and the new developmentments for next generation system are analyzed; then the equalization theories and algorithms are described; finally several computer simulation experiments are given to show the performance with necessary analysis and explanation. Besides these contributions, the new Turbo equalization algorithm and higher-order blind equalization algorithm are also specified and simulated, which have significant values in analysis and application. The most important creative job of this thesis is to present two novel blind equalization algorithms. By applying the new developments in signal processing field, our algorithms have outstanding performance with tiny additional computation complexity, which are verified by simulation experiments.
The key work and innovations of this thesis mainly include:
1. Research of the equalization theory and rules. Several experiments about the typical equalization algorithms are finished and summarized, including simulation of the new Turbo equalizer.
2. Particular study of blind equalization algorithm. Computer experiments of the typical blind equalizers have been finished, such as the constant modulus algorithm (CMA) equalizer and higher-order equalizer.
3. Proposed a new CMA equalization supported by adaptive convex combination theory. By utilizing the new developments of adaptive signal processing field, our new algorithm can get rid of the compromise in choosing different step-sizes, thus has faster convergence rate and better steady-state performance, which is confirmed by the simulation experiments.
4. Presented a hybrid structure of MMSE blind equalization strategy. The optimization theory is introduced in this algorithm to combine the advantages of two different MMSE equalizers. As a result, our new algorithm has outstanding performance, which is verified by experiments in different circumstances.
5. Implemented the new algorithms in the ADSP21160 based platform, which presents the implementing experience for application of these algorithms in commercial wireless telecommunication systems.
本文研究的主要内容为信道均衡技术。总结了无线通信系统的技术研究概况,分析了下一代无线通信系统的技术演进,概括了信道均衡技术的基本理论和算法,完成了一系列实验仿真和性能分析,总结了它们的应用。其中特别推导和仿真实现了几项新型均衡技术,包括Turbo均衡算法和高阶谱盲均衡算法,这些都具有重要的意义和价值。本文的创新工作还包括提出了两种新的盲均衡算法,通过应用信号处理领域的一些新进展,我们提出的盲均衡算法在仅增加少量计算复杂度的基础上,明显地改善了均衡效果,相应的仿真实验证实了算法的优异性能。
本文的核心工作和创新点主要体现在以下几个方面:
1.研究了均衡的理论和准则,对典型的自适应均衡算法和均衡器进行了分析并完成了计算机仿真实验,其中包括仿真实现目前的新型Turbo均衡算法。
2.对盲均衡算法和盲均衡器作了深入分析,对典型的盲均衡器完成了计算机仿真和性能分析,其中包括广泛研究的恒模均衡器和新型的高阶统计量均衡器。
3.提出了一种基于自适应凸组合的恒模盲均衡算法,该算法利用了自适应信号处理领域的新进展,避免了恒模盲均衡器步长的影响,因此收敛速度快,稳态性能好,仿真实验证实了新算法的优异性能。
4.提出了一种混合结构的MMSE类盲均衡算法,该算法结构利用最优化理论的相应结果,综合了两种不同类型MMSE均衡器的优点,具有优异的性能。仿真实验验证了该算法的优点。
5.对提出的两种新算法进行了硬件实现。采用了基于ADSP-21160的硬件平台进行了相应的实验,为新算法在实际通信系统中的应用和实现奠定了基础。
Next generation wireless communication system imposes high standard for the data transportation rate and quality of service, which require new and more advanced physical layer technologies to support. Under the condition of high throughput rate, the frequency-selective property will severely degrade the signal quality in the receiver, causing unacceptable inter-code interference (ICI). For the sake of reducing or eradicating such negative influence and improving the system's performance, with high reliability and easy implementing structure, equalization technologies have been proposed and widely applied in the communication systems.
The main work of this thesis is to research the channel equalization technologies. Firstly the technological improments of wireless communication are summarized and the new developmentments for next generation system are analyzed; then the equalization theories and algorithms are described; finally several computer simulation experiments are given to show the performance with necessary analysis and explanation. Besides these contributions, the new Turbo equalization algorithm and higher-order blind equalization algorithm are also specified and simulated, which have significant values in analysis and application. The most important creative job of this thesis is to present two novel blind equalization algorithms. By applying the new developments in signal processing field, our algorithms have outstanding performance with tiny additional computation complexity, which are verified by simulation experiments.
The key work and innovations of this thesis mainly include:
1. Research of the equalization theory and rules. Several experiments about the typical equalization algorithms are finished and summarized, including simulation of the new Turbo equalizer.
2. Particular study of blind equalization algorithm. Computer experiments of the typical blind equalizers have been finished, such as the constant modulus algorithm (CMA) equalizer and higher-order equalizer.
3. Proposed a new CMA equalization supported by adaptive convex combination theory. By utilizing the new developments of adaptive signal processing field, our new algorithm can get rid of the compromise in choosing different step-sizes, thus has faster convergence rate and better steady-state performance, which is confirmed by the simulation experiments.
4. Presented a hybrid structure of MMSE blind equalization strategy. The optimization theory is introduced in this algorithm to combine the advantages of two different MMSE equalizers. As a result, our new algorithm has outstanding performance, which is verified by experiments in different circumstances.
5. Implemented the new algorithms in the ADSP21160 based platform, which presents the implementing experience for application of these algorithms in commercial wireless telecommunication systems.
引文
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