MC_ring.sp, replace variables by vectors in the loop
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h_vogt
rlar
parent
d45736855e
commit
370e52736f
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@ -31,7 +31,7 @@ cout buf ss 0.2pF
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.options noacct
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.control
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save buf $ we just need buf, save memory by more than 10x
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let mc_runs = 10 $ number of runs for monte carlo
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let mc_runs = 30 $ number of runs for monte carlo
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let run = 0 $ number of actual run
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set curplot = new $ create a new plot
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set curplottitle = "Transient outputs"
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@ -60,39 +60,38 @@ cout buf ss 0.2pF
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* of the BSIM3 model for the NMOS and PMOS transistors.
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* We may obtain the nominal values (nom) by manually extracting them from
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* the parameter set. Here we get them automatically and store them into
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* variables. This has the advantage that you may change the parameter set
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* vectors. This has the advantage that you may change the parameter set
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* without having to look up the values again.
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set n1vth0=@n1[vth0]
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set n1u0=@n1[u0]
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set n1tox=@n1[tox]
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set n1lint=@n1[lint]
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set n1wint=@n1[wint]
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set p1vth0=@p1[vth0]
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set p1u0=@p1[u0]
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set p1tox=@p1[tox]
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set p1lint=@p1[lint]
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set p1wint=@p1[wint]
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let n1vth0=@n1[vth0]
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let n1u0=@n1[u0]
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let n1tox=@n1[tox]
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let n1lint=@n1[lint]
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let n1wint=@n1[wint]
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let p1vth0=@p1[vth0]
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let p1u0=@p1[u0]
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let p1tox=@p1[tox]
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let p1lint=@p1[lint]
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let p1wint=@p1[wint]
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*
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* run the simulation loop
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dowhile run <= mc_runs
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* without the reset switch there is some strange drift
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* towards lower and lower frequencies
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reset
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* run=0 simulates with nominal parameters
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if run > 0
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altermod @n1[vth0]=gauss($n1vth0, 0.1, 3)
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altermod @n1[u0]=gauss($n1u0, 0.05, 3)
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altermod @n1[tox]=gauss($n1tox, 0.1, 3)
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altermod @n1[lint]=gauss($n1lint, 0.1, 3)
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altermod @n1[wint]=gauss($n1wint, 0.1, 3)
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altermod @p1[vth0]=gauss($p1vth0, 0.1, 3)
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altermod @p1[u0]=gauss($p1u0, 0.1, 3)
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altermod @p1[tox]=gauss($p1tox, 0.1, 3)
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altermod @p1[lint]=gauss($p1lint, 0.1, 3)
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altermod @p1[wint]=gauss($p1wint, 0.1, 3)
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setplot $max_fft
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altermod @n1[vth0] = gauss(n1vth0, 0.1, 3)
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altermod @n1[u0] = gauss(n1u0, 0.05, 3)
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altermod @n1[tox] = gauss(n1tox, 0.1, 3)
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altermod @n1[lint] = gauss(n1lint, 0.1, 3)
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altermod @n1[wint] = gauss(n1wint, 0.1, 3)
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altermod @p1[vth0] = gauss(p1vth0, 0.1, 3)
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altermod @p1[u0] = gauss(p1u0, 0.1, 3)
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altermod @p1[tox] = gauss(p1tox, 0.1, 3 )
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altermod @p1[lint] = gauss(p1lint, 0.1, 3)
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altermod @p1[wint] = gauss(p1wint, 0.1, 3)
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end
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tran 15p 50n 0
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* select stop and step so that number of data points after linearization is not too
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tran 15p 100n 0
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* select stop and step so that number of data points after linearization is not too
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* close to 8192, which would yield varying number of line length and thus scale for fft.
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*
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* We have to figure out what to do if a single simulation will not converge.
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@ -104,8 +103,10 @@ cout buf ss 0.2pF
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set run ="$&run" $ create a variable from the vector
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set mc_runs ="$&mc_runs" $ create a variable from the vector
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echo simulation run no. $run of $mc_runs
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set dt = $curplot
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* save the linearized data for having equal time scales for all runs
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linearize buf $ linearize only buf, no other vectors needed
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destroy $dt $ delete the tran i plot
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set dt = $curplot $ store the current plot to dt (tran i+1)
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setplot $plot_out $ make 'plt_out' the active plot
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* firstly save the time scale once to become the default scale
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@ -115,11 +116,14 @@ cout buf ss 0.2pF
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let vout{$run}={$dt}.buf $ store the output vector to plot 'plot_out'
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setplot $dt $ go back to the previous plot (tran i+1)
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fft buf $ run fft on vector buf
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destroy $dt $ delete the tran i+1 plot
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let buf2=db(mag(buf))
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* find the frequency where buf has its maximum of the fft signal
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meas sp fft_max MAX_AT buf2 from=0.1G to=0.7G
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* find the frequency where buf is -40dB at rising fft signal
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meas sp fft_40 WHEN buf2=-40 RISE=1 from=0.1G to=0.7G
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meas sp fft_40 WHEN buf2=-40 RISE=1 from=0.1G to=0.7G
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echo
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echo
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* store the fft vector
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set dt = $curplot $ store the current plot to dt (spec i)
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setplot $plot_fft $ make 'plot_fft' the active plot
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@ -130,19 +134,15 @@ cout buf ss 0.2pF
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* store the measured value
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setplot $max_fft $ make 'max_fft' the active plot
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let maxffts[{$run}]={$dt}.fft_max
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let halfffts[{$run}]={$dt}.fft_40
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* setplot $plot_out
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* The following command does not work here. Why not? Probably not a real copy.
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* destroy $dt $ save memory, we don't need this plot (spec) any more
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setplot $dt $ go back to the previous plot
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let halfffts[{$run}]={$dt}.fft_40
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let run = run + 1
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end
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***** plotting **********************************************************
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* plot {$plot_out}.allv
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plot {$plot_out}.vout0 $ just plot the tran output with nominal parameters
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* setplot $plot_fft
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* plot db(mag(ally)) xlimit .1G 1G ylimit -80 10
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plot db(mag({$plot_fft}.ally)) xlimit .1G 1G ylimit -80 10
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setplot $plot_out
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plot vout0 ylabel 'RO output, original parameters' $ just plot the tran output with nominal parameters
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setplot $plot_fft
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settype decibel ally
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plot db(mag(ally)) xlimit .1G 1G ylimit -80 10 ylabel 'fft output'
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*
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* create a histogram from vector maxffts
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setplot $max_fft $ make 'max_fft' the active plot
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@ -171,9 +171,17 @@ cout buf ss 0.2pF
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end
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let run = run + 1
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end
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* plot the histogram
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set plotstyle=combplot
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plot yvec-1 vs xvec $ subtract 1 because with started with unitvec containing ones
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plot yvec-1 vs xvec xlabel 'oscillation frequency' ylabel 'bin count' $ subtract 1 because we started with unitvec containing ones
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* plot simulation series
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set plotstyle=linplot
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let xx = vector(mc_runsp)
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settype frequency maxffts
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plot maxffts vs xx xlabel 'iteration no.' ylabel 'RO frequency'
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* calculate jitter
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let diff40 = (vecmax(halfffts) - vecmin(halfffts))*1e-6
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echo
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@ -193,11 +201,11 @@ cout buf ss 0.2pF
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+k3b=2.233
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+vsat=86301.58 ua=6.47e-9 ub=4.23e-18 uc=-4.706281e-11
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+rdsw=650 u0=388.3203 wr=1
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+a0=.3496967 ags=.1 b0=0.546 b1=1
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+a0=.3496967 ags=.1 b0=0.546 b1=1
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+dwg=-6.0e-09 dwb=-3.56e-09 prwb=-.213
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+keta=-3.605872e-02 a1=2.778747e-02 a2=.9
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+voff=-6.735529e-02 nfactor=1.139926 cit=1.622527e-04
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+cdsc=-2.147181e-05
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+cdsc=-2.147181e-05
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+cdscb=0 dvt0w=0 dvt1w=0 dvt2w=0
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+cdscd=0 prwg=0
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+eta0=1.0281729e-02 etab=-5.042203e-03
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