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Spectrum sensing algorithms and transceiver systems design for cognitive radio network testbed.

机译：认知无线电网络测试平台的频谱感测算法和收发器系统设计。

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摘要

Cognitive radio has become the breakthrough wireless technology in the past decade. It is a network that can use licensed bands for communications, whenever it would not cause any interference (by avoiding them whenever legitimate user presence is sensed). Users in the network are fully programmable wireless devices. They should be able to sense their environment and dynamically adapt their transmission waveforms, channel access methods, and networking protocols. The research of cognitive radio is multidisciplinary. In this dissertation, we study on two key enabling technologies: Spectrum sensing algorithms and transceiver systems design.;Spectrum sensing detects the unused frequency bands. Two paradigms are considered: Single band spectrum sensing and wideband spectrum sensing. In single band spectrum sensing, the unlicensed user detects the availability of one frequency band at each sensing operation. We propose to model this problem as a low rank signal detection problem. Discrete Karhunen--Lo{`e}ve transform and general likelihood ratio tests will be used to derive new algorithms under the low rank signal detection model. Simulation results, hardware implementations and real-world experimental results will illustrate the performance improvement of the new algorithms. In wideband spectrum sensing, the unlicensed user is able to detect the availability of multiple frequency bands at each sensing operation. Sensing with feasible sampling rate and acceptable computation complexity are very challenging. We will analyze the practical properties of wideband spectrum sensing and summarize the features that can assist developing efficient wideband spectrum sensing algorithms. Compressed sensing theory will be used extensively and modified compressed sensing algorithms will be proposed.;Transceiver systems design studies the programmable high performance platform for cognitive radio devices. General architecture for cognitive radio will be introduced. Two types of cognitive radio systems are considered: Overlay systems and underlay systems. We will introduce several state-of-the-art platforms that can be used for the overlay systems. As for the underlay systems, we will use convex optimization theory to assist the systems design, featuring low complexity with optimum programmable waveforms. Time reversal waveforms used at the transmitter is a special case of cognitive radio that consists of intelligent programmable waveforms. Two generations of time reversal systems implementations will be introduced. Compressed sensing theory will be introduced to design the underlay systems with sampling rate that is far less than Nyquist sampling rate. Relative ultra-wideband channel estimation sub-systems with sub-Nyquist sampling rate will be introduced.
机译：在过去的十年中，认知无线电已成为突破性的无线技术。它是一个可以在不引起任何干扰的情况下使用许可频段进行通信的网络（只要在感觉到合法用户存在时就避开它们）。网络中的用户是完全可编程的无线设备。他们应该能够感知其环境并动态地调整其传输波形，信道访问方法和网络协议。认知无线电的研究是多学科的。本文研究了两种关键的使能技术：频谱感知算法和收发器系统设计。考虑两个范例：单频带频谱感测和宽带频谱感测。在单频带频谱感测中，无执照用户在每次感测操作中都会检测一个频段的可用性。我们建议将此问题建模为低秩信号检测问题。在低秩信号检测模型下，将使用离散Karhunen-Love变换和一般似然比检验来得出新算法。仿真结果，硬件实现和实际实验结果将说明新算法的性能改进。在宽带频谱感测中，未许可用户能够在每次感测操作中检测多个频段的可用性。以可行的采样率和可接受的计算复杂度进行传感非常具有挑战性。我们将分析宽带频谱感测的实用特性，并总结可以帮助开发高效宽带频谱感测算法的功能。压缩感知理论将得到广泛应用，并提出改进的压缩感知算法。收发器系统设计研究了认知无线电设备的可编程高性能平台。将介绍认知无线电的通用架构。考虑了两种类型的认知无线电系统：覆盖系统和覆盖系统。我们将介绍几种可用于覆盖系统的最新平台。对于底层系统，我们将使用凸优化理论来辅助系统设计，该系统具有较低的复杂度和最佳的可编程波形。发射机处使用的时间反转波形是认知无线电的一种特殊情况，它由智能可编程波形组成。将介绍两代时间倒转系统的实现。将引入压缩传感理论来设计采样率远低于奈奎斯特采样率的底层系统。将介绍具有亚奈奎斯特采样率的相对超宽带信道估计子系统。

著录项

  • 作者

    Zhang, Peng.;

  • 作者单位

    Tennessee Technological University.;

  • 授予单位 Tennessee Technological University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 179 p.
  • 总页数 179
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地下建筑;
  • 关键词

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