Abstract
This paper describes how to measure a full suite of RF filter characteristics using reusable code to produce a chirp that sweeps the filters’ frequency range. It shows how to measure 3 dB points, bandwidth and group delay of any filter and how accurately the technique correlates to measurements of the silicon performance made in the lab. The test time saving and stability of results are shown as well as the advantages of the technique with regard to having full characterization data available in a production program. Historically test engineers have been asked to characterize certain parts of the device during debug of initial silicon. This adds time pressure to an already time critical sections of product delivery milestone because device characterization on ATE is never part of the original test quotation. This also adds considerable cost pressure since this takes extra software development and tester time to produce. The proposed method can alleviate a part of this problem.
Similar content being viewed by others
References
Allen W, Bailey D, Demidenko S, Piuri V (2002a) Test chirp signal generation using spectral warping. Proc. First IEEE International Workshop on Electronic Design, Test and Applications
Allen W, Bailey D, Demidenko S, Piuri V (2002b) Test chirp signal generation using spectral warping. Proceedings of The First IEEE International Workshop on Electronic Design, Test and Applications
Allen WPM, Bailey DG, Demidenko SN, Piuri V Analysis and application of digital spectral warping in analog and mixed-signal testing. IEEE Transaction on Reliability 52(4):444–457
Demidenkol S, Piuri V (1999) Using spectral warping for instrumentation and measurements in mixed-signal testing. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference. IMTC/99., 3:1547–1552
Long DG (1988) Phase unwrapping for multidimensional rational and finite-length sequences. Proc. International Conference on Acoustics, Speech, and Signal Processing. ICASSP-88
Mishra A, Soma M (2008) A time-domain method for pseudo-spectral characterization. Proc. 26th IEEE VLSI Test Symposium
Oppenheim AV, Schafer RW, Buck J (1999) Digital Signal Processing. Prentice-Hall, Upper Saddle River, New Jersey
Petersen BR, Falconer DD (1994) Suppression of adjacent-channel, cochannel, and intersymbol interference by equalizers and linear combiners. IEEE Trans Commun 42(12):3109–3118
Sarson P (2014) RF Filter Characterization using a chirp. Proc. 9th International Design & Test Symposium (IDT)
Sarson P (2016) Group delay filter measurement using a chirp. Proc. 21st IEEE European Test Symposium (ETS), pp 1–2
Xia XG (2000) Discrete chirp-Fourier transform and its application to chirp rate estimation. IEEE Trans Signal Process 48(11):3122–3133
Xuan R, Haihong T, Jian X, Jia S, Weiping L (2015) Long-time coherent integration detection of weak manoeuvring target via integration algorithm, improved axis rotation discrete chirp-Fourier transform. IET Radar, Sonar & Navigation 9(7):917–926
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible Editors: M. J. Barragan and W. R. Eisenstadt
Rights and permissions
About this article
Cite this article
Sarson, P. An ATE Filter Characterization ToolKit Using a Discrete Chirped Excitation Signal as Stimulus. J Electron Test 33, 283–294 (2017). https://doi.org/10.1007/s10836-016-5633-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10836-016-5633-x