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Optimization of Material Characterization & Tolerance Design on Differential Stripline

Shiju Sui (signal integrity engineer, ZTE)

Haidan Yu (signal integrity engineer, ZTE)

Jing Lin (signal integrity engineer, ZTE)

Yi Chen (signal integrity engineer, ZTE)

Zhifen Xie (signal integrity engineer, ZTE)

Location: Ballroom D

Date: Wednesday, January 29

Time: 12:00pm - 12:45pm

Track: 04. Advances in Materials & Processing for PCBs, Modules & Packages

Format: Technical Session

Pass Type: 2-Day Pass, All-Access Pass, Alumni All-Access Pass - Get your pass now!

Vault Recording: TBD

Audience Level: All

The actual PCB material parameters(DK, DF, and roughness) are usually different from which provided in datasheet. This paper proposes a method of extracting material characteristics without destroying PCB.
Firstly, the algorithm is based on delta-L method with optimized AFR de-embedding method and RLGC model.
Then geometry parameter is detected by impedance. A local optimization algorithm is used to extract DK, DF, and roughness.
Moreover, a probability prediction method is proposed to evaluate skew characteristics. 
Based on the above methodology and  tolerance design, key parameters with reduced diversity, are proposed in the paper.

Takeaway

An optimized algorithm for more accurate material characterization based on RLGC model and AFR de-embedding is proposed.
A skew distribution estimating method is derived.
The two key factors affecting channel IL are directed by tolerance design.
Product volatility is reduced to about 70% after tolerance distribution.