Baseband Signal Processing Algorithm and VLSI Architecture Co-Design Methodologies for Wireless MIMO Transceivers

该集成系统提案侧重于在高数据速率无线多输入多输出（MIMO）收发器中实现基带信号处理构建块的算法和VLSI架构协同设计方法的开发。最近，MIMO几乎成为唯一可行的途径，可以在不增加额外频谱和传输功率的情况下推出非常高的数据速率无线网络。然而，复杂的基带信号处理使得MIMO在现实世界中实现所承诺的容量成为一个挑战。该方案的智力优势在于将算法开发和VLSI架构设计结合起来，解决MIMO基带信号处理实现挑战的研究主题。应用并行/规则驱动算法/架构协同设计方法，我们将为无线MIMO收发器中的三个主要基带信号处理模块开发协同设计解决方案，包括近最佳非线性硬/软输出MIMO信号检测器，有限搜索状态并行卷积码硬/软输出解码器和低密度奇偶校验（LDPC）码编码器/解码器。更广泛的影响：本提案的教育目标是促进VLSI信号处理的教育，这是连接半导体和信号处理/通信的跨学科领域，面向更广泛的学生。本研究将对高数据速率无线网络的设计和有效性产生广泛影响，对国民经济和安全具有重要意义，并将在21世纪的家庭、学校、城市街道和机场中无处不在。它也将有利于许多其他实际应用，如光通信、铜线网络和磁/全息存储，其中LDPC编码、卷积码解码和/或MIMO信号检测可能是核心信号处理功能。

This integrative systems proposal focuses on the development of algorithm and VLSI architecture co-design methodologies for implementing baseband signal processing building blocks in high data rate wireless multiple-input multiple-output (MIMO) transceivers. MIMO recently emerged as the almost only viable path to launch very high data rate wireless networks at no cost of extra spectrum and transmission power. However, the complex baseband signal processing makes it a challenge to realize the capacity promised by MIMO in the real world. The intellectual merit of this proposal lies in the research theme of jointly considering algorithm development and VLSI architecture design to tackle the MIMO baseband signal processing implementation challenge. Applying a parallelism/regularity-driven algorithm/architecture co-design methodology, we will develop co-design solutions for three major baseband signal processing blocks in wireless MIMO transceivers, including near-optimum non-linear hard/soft-output MIMO signal detector, limited search state-parallel convolutional code hard/soft-output decoder, and low-density parity-check (LDPC) code encoder/decoder. The Broader Impacts: The education objective of this proposal is to promote the education of VLSI signal processing, the inter-disciplinary area linking semiconductor and signal processing/communication, to a wider spectrum of students. This research has broad impact in the design and effectiveness of high data rate wireless networks that will have great importance to national economy and security and will be ubiquitous in homes, schools, city streets, and airports of the 21st century. It will also benefit many other real-life applications such as optical communications, copper-wired networks, and magnetic/holographic storage, where LDPC coding, convolutional code decoding, and/or MIMO signal detection may be core signal processing functions.