A. Brat$ 2. University 1. Motorola SPS -Logic and h a l o Technolo ies Group, Tempe, AZ 85284, of Arizona ECE Dept. Tuscon, AZ 8 5 7 2 1 , 3 .~i n g t o n~i c r~e l e c t r o n i c s Limited, Northwich, Cheshire, UK.
AbstractA Field Programmable Analog Array (FPAA) is presented based on switched capacitor technology. The architecture offers an unconstrained topology similar to its digital counterpart, containing an array of identical undedicated analog cells. This makes it possible to program both the functionality of each cell and the interconnect between cells. As a result a large number of diverse architectures may be implemented.The analog array can be programmed to perform many of the routine tasks associated with control systems design. It's linear and non-linear signal processing abilities can provide a wide range of waveform generation functions. The device can also be programmed for precise phase and magnitude characteristics. Some examples related to control systems are discussed.
A Field Programmable Analog Array (FPAA), built in CMOS technology, contains uncommitted operational amplifiers, switches, and capacitors. A FPAA containing banks of programmable switched capacitors (SC) can be used to build filters for analog signals as well as a large number of diverse analog applications. The parameters of a given application, such as a filter, are functions of the capacitor values. Manufacturing and quantization errors may result in capacitor values in the FPAA other than those required by the application. For an FPAA to be a viable substitute for dedicated devices we must examine the error performance of the implementation. Such performance analysis can be built into the software to provide circuit designers with additional information. A methodology is described for determining a bound for the filter error as a function of capacitor errors and capacitor sizes. An example of detailed analysis for a low pass filter is included. Measurements of a low-pass filter implemented using Motorola's prototype FPAA compared favorably with the model predictions.
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