Title :
A Statistical Digital Equalizer for Loopback-based Linearity Test of Data Converters
Author :
Shin, Hongjoong ; Park, Jiseon ; Abraham, Jacob A.
Author_Institution :
Comput. Eng. Res. Center, Texas Univ., Austin, TX
Abstract :
This paper presents a new built-in self test (BIST) method based on efficient digital equalization and spectral prediction techniques. The method enables accurate built-in characterization of the static performance parameters of data converters, and thus test and calibration costs can be significantly alleviated. Based on recent work on dynamic performance parameter characterization using a loopback test, the transfer function of a DAC in loopback mode is estimated with a spectral prediction technique and Chebyshev polynomials. A digital equalizer is designed to compensate for the non-linearity of the DAC in the pre-conversion stage, hence the ADC can be tested with the digitally calibrated analog signals. The digital equalizer overcomes accuracy limitations encountered in a traditional compensation technique, and thus a standard histogram test which may suffer from INL masking problems can be successfully applied. Simulation results are presented to validate the technique
Keywords :
Chebyshev approximation; analogue-digital conversion; built-in self test; circuit testing; digital-analogue conversion; equalisers; polynomials; transfer functions; ADC; Chebyshev polynomials; DAC; INL masking; built-in self test; data converters; digital equalization; digitally calibrated analog signals; dynamic performance parameter; loopback-based linearity test; spectral prediction; standard histogram test; static performance parameters; statistical digital equalizer; transfer function; Automatic testing; Built-in self-test; Calibration; Chebyshev approximation; Costs; Equalizers; Linearity; Polynomials; Signal design; Transfer functions;
Conference_Titel :
Test Symposium, 2006. ATS '06. 15th Asian
Conference_Location :
Fukuoka
Print_ISBN :
0-7695-2628-4
DOI :
10.1109/ATS.2006.261027