Collaborative Research: Subspace Expansions for Optimization of Transceivers in Multiple Access Communication

这项研究旨在对子空间信号处理进行时空处理，以对进出互联网、固定计算机之间或计算机与外围设备之间的无线传输进行时空处理。它特别适用于在空间和时间上扩展信号的无线信道，从而迫使收发机自适应地权衡阵列和滤波增益以获得令人满意的性能。研究(I)继续探索优化理论和滤波之间的联系；(Ii)推进用于空时自适应处理(STAP)的降阶滤波器设计的最新技术；(Iii)将结果应用于空时无线通信、成像和波束形成。其目的是通过展示码设计和功率控制如何直接影响无线网络中接收器的成本、复杂性和汇聚性，来将无线通信系统中的发射器设计与接收器设计相结合。该项目包括以下内容：(I)下行协作收发信机优化，利用码字设计、功率控制、矢量共轭梯度维纳滤波实现翘曲收敛；(Ii)上行收发信机优化，利用矩阵共轭梯度维纳滤波实现一步收敛。

This research is directed to subspace signal processing for space-time processing of wireless transmissions to and from the internet, between fixed computers, or between computers and peripherals. It applies particularly to wireless channels that spread signals in space and time, thereby forcing the transceiver to adaptively trade off array and filter gain for diversity in order to achieve satisfactory performance.The research (i) continues our exploitation of the connection between optimization theory and filtering; (ii) advances the state-of-the-art in reduced rank filter design for space-time adaptive processing (STAP); and (iii) applies the results to space-time wireless communication, imaging, and beamforming. The aim is to couple transmitter design to receiver design in wireless communication systems by showing how code design and power control directly influence the cost, complexity and convergence of receivers within a wireless network. The project consists of these elements: (i) downlink cooperative transceiver optimization, using code design, power control, and the vector conjugate gradient Wiener filter to achieve warp convergence; (ii) uplink transceiver optimization, using the matrix conjugate gradient Wiener filter to achieve convergence in one step.