Digitally Controlled Analog Signal Processing
Abstract
A design methodology for precision high-frequency monolithic continuous-time signal processing was introduced in the first phase of this project. The methodology applies local intelligence via a digital controller which precisely controls a continuous-time signal path. An architecture which ensued from this design methodology which is termed Digitally Controlled Analog Signal Processing (DCASP) has been introduced. The DCASP approach is inherently insensitive to nominal and statistical parameter variations, passive and active component mismatches, temperature variations, aging and parasitics. The DCASP architecture is amenable to adaptive applications and has potential to be used to implement in-field self-testing and/or correcting algorithms. The architecture is flexible, allowing for post fabrication establishment of system specifications. The flexibility along with the self-testing and/or correcting capabilities directly impact in a positive way both the reliability and cost of DCASP based systems. In this report, the design and testing of a digitally controlled signal processor which is totally programmable and reconfigurable is discussed. This circuit forms the basic signal path of the DCASP architecture. The structure is capable of realizing filter transfer functions up to sixth order. An experimental version of this circuit was fabricated in a double polysilicon CMOS process.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1988
- Accession Number
- ADA237277
Entities
People
- Edgar Sanchez-sinencio
- Randall L. Geiger
Organizations
- University of California, San Diego