复杂室内环境脉冲超宽带信号有限新息率采样与参数估计方法研究

针对复杂室内环境下脉冲超宽带信号接收端所面临的信号多径叠加、路径损耗、脉冲波形畸变的问题，基于脉冲信号和多径信道的参数化特性，从参数采样的角度，研究基于有限新息率（FRI）的脉冲超宽带信号欠奈奎斯特采样与参数估计方法。首先，通过微分洛伦兹函数拟合的方式，构建复杂室内环境下脉冲超宽带信号的参数化数学模型；然后，充分考虑物理元器件非理想效应的影响，研究获取信号时频信息的FRI采样核和阵列式采样结构；最后，利用不同阵元采样通道间信号的相关性，结合波束形成和智能优化的思想，研究脉冲超宽带信号调制参数、多径信道参数联合估计算法，实现噪声干扰环境下目标参数的高精度估计。通过以上研究，拟解决目前复杂室内环境下脉冲超宽带数字接收机采样数据量巨大而信号中所蕴涵参数信息有限之间的矛盾问题，为超宽带数字接收机技术的未来发展提供理论和方法支撑。

In complex indoor environment, the impulse radio ultra-wide bandwidth (IR-UWB) signals face the problems of multipath aliasing, path loss and pulse waveform distortion. According to the parametric characteristics of pulse signals and multipath channels, this research focuses on the sub-Nyquist sampling method for IR-UWB signals with finite rate of innovation. Firstly, based on the differentiate Lorentzian function fitting approach, this research will construct the parametric mathematical model of IR-UWB signals in complex indoor environment. Then, considering the non-ideal effects of physical components, FRI sampling core and array sampling structure will be studied. Finally, making use of the correlation between the signals from different sampling channels, and combining with the ideas of beamforming and intelligent optimization, this research will study the multi-channel joint estimation method for IR-UWB signal modulation parameters and multipath channel parameters, to realize high precision estimation of target parameters under noise interference environment. The research results will solve the contradiction problem between the tremendous sampling data and the limited parameter information contained in the IR-UWB signals. Furthermore, it will establish theoretical basis and method support for the development of UWB digital receiver technology.