A coordinated approach to reconfigurable analog signal processing

System on chip;Field programmable analog array;Low-power design;Analog synthesis;Macromodeling;Mixed-mode processing

Schlottmann, Craig Richard ; Hasler, Jennifer Electrical and Computer Engineering Anderson, David Lanterman, Aaron McClellan, James Smith, Mark ; Hasler, Jennifer

University:Georgia Institute of Technology

Department:Electrical and Computer Engineering

关键词: System on chip;    Field programmable analog array;    Low-power design;    Analog synthesis;    Macromodeling;    Mixed-mode processing;   

Others  :  https://smartech.gatech.edu/bitstream/1853/49021/1/schlottmann_craig_r_201208_phd.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

The purpose of this research is to create a solid framework for embedded system design with field-programmable analog arrays (FPAAs). To achieve this goal, we've created a unified approach to the three phases of FPAA system design: (1) the hardware architecture; (2) the circuit design and modeling; and (3) the high-level software tools. First, we describe innovations to the reconfigurable analog hardware that enable advanced signal processing and integration into embedded systems. We introduce the multiple-input translinear element (MITE) FPAA and the dynamically-reconfigurable RASP 2.9v FPAA, which was designed explicitly for interfacing with external digital systems. This compatibility creates a streamlined workflow for dropping the FPAA hardware into mixed-signal embedded systems. The second phase, algorithm analysis and modeling, is important to create a useful and reliable library of components for the system designer. We discuss the concept and procedure of analog abstraction that empowers non-circuit design engineers to take full advantage of analog techniques. We use the analog vector-matrix multiplier as an example for a detailed discussion on computational analog analysis and system mapping to the FPAA. Lastly, we describe high-level software tools, which are an absolute necessity for the design of large systems due to the size and complexity of modern FPAAs. We describe the Sim2Spice tool, which allows system designers to develop signal processing systems in the Simulink environment. The tool then compiles the system to the FPAA hardware. By coordinating the development of these three phases, we've created a solid unified framework that empowers engineers to utilize FPAAs.