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Monte Carlo Analysis<br />

Specifying Statistical Variations<br />

The parameters LEFF, WEFF, and AEFF contain respectively the effective length, width, and<br />

area of the capacitor. Indirectly, the expression of AEFF depends on the statistical variations of<br />

the geometry. This will vary the effective area AEFF, and therefore will affect the effective<br />

capacitance value.<br />

Process Parameters and Geometrical Variations<br />

The process parameters are given for the oxide thickness TOX and the geometrical variations<br />

DL and DW. The nominal value for the oxide thickness is 19nm. The typical values for the<br />

variations for DL and DW are fixed to 0.<br />

The local variations of the oxide thickness have an area dependency:<br />

In the netlist this matches the expression:<br />

.PARAM DEV_MM_TOX = ’A_MM_TOX/SQRT(WDRAWN*LDRAWN)+B_MM_TOX’<br />

where the two factors, A_MM_TOX and B_MM_TOX are defined for the statistical<br />

distribution of oxide thickness. They are defined as constant terms:<br />

• A_MM_TOX=0.4543U<br />

• B_MM_TOX=0.1435<br />

This equation relates the variance of the process parameter TOX to the inverse square root of the<br />

area. The local variation decreases as the device size increases. Note that by contrast, the global<br />

process variations are independent of the effective length L and width W.<br />

This equation is based on the mismatch model proposed by Pelgrom: M.J.M. Pelgrom et. al.,<br />

Matching Properties of MOS Transistors, IEEE Journal of Solid-State Circuits, Vol. 24, No. 5,<br />

1989, pp. 1433-1439.<br />

Local Mismatch Variations<br />

The modeling of local mismatch variations can be done using a MOS device L, W, M by<br />

accessing the EVAL() function: E(X1.M1,L) or EVAL(*,W).<br />

Related Topics<br />

Specifying Statistical Parameters<br />

426<br />

Eldo® User's Manual, 15.3

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