SMU MTx Onet 5 Gb eye diagrams

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Presentation transcript:

SMU MTx Onet 5 Gb eye diagrams From Kent I loaded all 20 pieces of VCSELs on to that 10 MTx boards and tested all of them. The results are much better than previous and attached here. When they were biased at 6 mA and modulated at 8 mA, all 20 channels passed the mask. The VCSEL indices in the column B of the Excel file are matched the number on the plastic box as in the picture below

SMU MTx Onet eye diagrams batch PPJ (ps) AOP (dBm) RISE (ps) FALL (ps) RMSJ (ps) OMA (uW) EXtR MTX#7 VCSELs from 100 pieces 0490-0A(1311) 16.2 -0.805 37.8 40.8 2.716 662.6 2.217 14.4 -0.815 41.4 2.487 615.6 2.139 MTX#8 18.0 -0.960 37.2 2.761 585.8 2.088 15.6 -1.265 2.631 601.7 2.248 MTX#10 VCSEL#1 16.8 -2.395 34.2 39.6 2.738 441.4 2.075 VCSEL#2 -1.918 34.8 40.2 2.321 489.8 2.099 MTX#11 VCSEL#4 -1.540 35.4 2.345 503.9 2.028 VCSEL#3 13.8 -2.588 33.6 2.262 444.3 MTX#12 VCSEL#5 17.4 -2.033 36.6 42.0 2.592 571.4 2.478 VCSEL#6 -2.363 36.0 2.380 556.7 2.643 MTX#13 VCSEL#7 15.0 2.420 515.6 2.505 VCSEL#8 -2.091 2.556 439.5 2.019 MTX#14 VCSEL#9 -1.698 2.660 536.1 2.192 VCSEL#10 -1.672 2.537 698.1 2.942 MTX#15 VCSEL#11 -1.779 2.963 548.3 2.169 VCSEL#12 2.560 454.7 2.271 MTX#16 VCSEL#13 -2.621 2.793 476.9 2.371 VCSEL#14 -2.458 42.6 2.666 556.8 2.724 MTX#17 VCSEL#15 2.411 472.7 2.253 VCSEL#16 13.2 -2.150 2.355 474.1 2.160 MTX#18 VCSEL#17 2.796 518.0 2.590 VCSEL#18 -2.240 2.432 504.7 2.331 MTX#19 VCSEL#19 0490-0A(1250) 2.428 467.0 2.165 VCSEL#20 12.6 2.469 512.9 2.461 MTX#1 -0.983 2.418 592.1 2.093 -0.893 39.0 2.430 595.8 2.055 MTX#3 -0.849 2.840 582.3 2.010 -1.029 2.588 584.4 2.096 MTX#20 VCSELS used to be on #1&#3 2.723 462.9 2.113 -2.062 2.562 445.9 1.978 MTX#21 2.646 483.6 2.213 -2.755 2.831 439.9 2.265 min max Bias 6 mA Mod 8 mA

SMU MTx Onet eye diagrams

SMU MTx Onet eye diagrams PPJ (ps) AOP (dBm) RISE (ps) FALL (ps) RMSJ (ps) OMA (uW) EXtR MTX#10 VCSEL#1 16.8 -2.395 34.2 39.6 2.738 441.400 2.075 VCSEL#2 15.6 -1.918 34.8 40.2 2.321 489.800 2.099 MTX#11 VCSEL#4 16.2 -1.540 35.4 2.345 503.900 2.028 VCSEL#3 13.8 -2.588 33.6 2.262 444.300 2.217 MTX#12 VCSEL#5 17.4 -2.033 36.6 42.0 2.592 571.400 2.478 VCSEL#6 -2.363 36.0 41.4 2.380 556.700 2.643 MTX#13 VCSEL#7 15.0 2.420 515.600 2.505 VCSEL#8 -2.091 40.8 2.556 439.500 2.019 MTX#14 VCSEL#9 14.4 -1.698 2.660 536.100 2.192 VCSEL#10 -1.672 2.537 698.100 2.942 MTX#15 VCSEL#11 -1.779 2.963 48.300 2.169 VCSEL#12 37.2 2.560 454.700 2.271 MTX#16 VCSEL#13 -2.621 2.793 476.900 2.371 VCSEL#14 -2.458 42.6 2.666 556.800 2.724 MTX#17 VCSEL#15 2.411 472.700 2.253 VCSEL#16 13.2 -2.150 2.355 474.100 2.160 MTX#18 VCSEL#17 18.0 2.796 518.000 2.590 VCSEL#18 -2.240 2.432 504.700 2.331 MTX#19 VCSEL#19 2.428 467.000 2.165 VCSEL#20 12.6 2.469 512.900 2.461 min 439.5 max 698.1

Eye_5G_MTx1.43#10_ch1 Eye_5G_MTx1.43#10_ch2

Eye_5G_MTx1.43#11_ch1 Eye_5G_MTx1.43#11_ch2

Eye_5G_MTx1.43#12_ch1 Eye_5G_MTx1.43#12_ch2

Eye_5G_MTx1.43#13_ch1 Eye_5G_MTx1.43#13_ch2

Eye_5G_MTx1.43#14_ch1 Eye_5G_MTx1.43#14_ch2

Eye_5G_MTx1.43#15_ch1 Eye_5G_MTx1.43#15_ch2

Eye_5G_MTx1.43#16_ch1 Eye_5G_MTx1.43#16_ch2

Eye_5G_MTx1.43#17_ch1 Eye_5G_MTx1.43#17_ch2

Eye_5G_MTx1.43#18_ch1 Eye_5G_MTx1.43#18_ch2

Eye_5G_MTx1.43#19_ch1 Eye_5G_MTx1.43#19_ch2