基于宽带压缩感知的多速率MIR UWB系统高效通信架构及兼容性研究

Because of the advantages of high communication capacity and spectrum efficiency，multiband impulse ultra wide-band (MIR UWB) has been the hot research topic in the field of communication. For its spectrum flexibility and compatibility with other narrowband users, this project will combine MIR UWB with sub-band mapping algorithm and cognitive radio technology，and this can offer a new research method to solve the above problems. Starting from the basic structure of MIR-UWB communication system, this project structures a new cognitive multirate MIR UWB communication system combining with variable transmission rate of mapping algorithm and low sampling rate of compressed sensing technology, establishes the mathematical model and then analyses the system architecture and its feasibility. Mapping algorithm, adaptive pulse waveform design，modulation and demodulation method, wideband spectrum sensing algorithm, signal reconstruction algorithm, are studied deeply, and the communication capability, spectrum sharing capability and interference rejection capability of the new system are evaluated also. Finally, with the help of above theoretical researches a new intelligent wireless communication system scheme is proposed, which is better than the traditional MIR UWB communication system for the more flexible transmission rate and more effective wideband spectrum sensing and sharing capabilities, and also has a low sampling rate and low complexity of the system realization at the same time. The new scheme can provide the theoretical basis and technical support for the development of future wireless intelligent cognitive networks.

MIR UWB因具有较高的通信容量和频谱利用率，成为通信领域的研究热点。针对其频谱使用的灵活性和与其他窄带用户的兼容性等问题，本项目拟将MIR UWB和子带映射算法及具有频谱共享能力的认知无线电技术相结合，为上述问题的研究和解决提供了新的思路。本项目从MIR UWB系统基本结构出发，结合映射算法和宽带压缩感知技术，构建全新的认知多速率MIR UWB通信系统，建立系统数学模型并对系统构架和可行性进行论证，重点对子带映射算法、自适应脉冲波形设计、调制解调方法、宽带频谱感知算法等关键技术进行深入研究，并对系统通信能力、频谱共享能力和干扰抑制能力进行有效评估。最终，在以上研究内容基础之上提出一种全新的智能无线通信系统实现方案，较传统MIR-UWB系统具有更灵活的数据传输速率、更有效的宽带频谱感知能力和共享能力，并具有较低的系统采样率和实现复杂度，为未来无线智能认知网络的发展提供理论依据和技术支持。

为解决常规MIR UWB通信系统的频谱使用灵活性和与其他用户相互兼容等问题，本项目从数据-子带映射算法、常规MIR UWB 通信系统的结构及其工作原理出发，并结合压缩感知技术，利用映射算法和压缩感知技术在多速率传输和采样速率降低等方面的技术优势，构建了全新的基于压缩感知的多速率MIR UWB通信系统，建立系统的数学模型和仿真模型，并对系统的可行性和有效性进行了深入的研究分析和仿真验证；解决了适用于该系统的数据-子带映射算法、子带-数据逆映射算法、子带脉冲波形设计、调制解调方法、压缩感知算法等关键问题。并对系统的数据传输能力、频谱共享能力和干扰抑制能力进行了有效评估，结果表明该系统具有更加灵活的数据传输速率、频谱使用率和多用户共享能力，并具有较低的接收机采样速率和实现复杂度，为未来智能网络和无线设备的发展提供了可行性方案和技术储备。