Four-scheme jamming comparison and a fully generated refresh table
Give the orthogonal-access jammer its own Rayleigh channel in oma_ser_jammed, matching the convention every simulated scheme already used. Without it the closed-form curve faced a jammer at full power in every frame while the Monte Carlo curves faced a fading one, which inverted the ordering of the comparison. Measure the outsider error rate for the fixed-key and naive-refresh cases as well, and emit the two refresh tables from make_tables.py, so no cell of the paper is hand-typed.
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block,legit_invariant,legit_naive,eve_ser
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0,0.2575,0.982775,0.9998575
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1,0.256835,0.7427116667,0.9998133333
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2,0.2566516667,0.8483041667,0.9999883333
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3,0.2572983333,0.778605,0.9996666667
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4,0.2569683333,0.6199566667,0.9979908333
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5,0.2571308333,0.6580941667,0.9997825
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6,0.2572883333,0.7788558333,0.9997916667
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7,0.2577975,0.6935075,0.9999575
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8,0.2573458333,0.8400325,0.99839
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9,0.25766,0.6547933333,0.9999866667
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10,0.2565575,0.4783583333,0.9995791667
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11,0.2578183333,0.65481,0.99993
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12,0.2573583333,0.8477883333,0.9997283333
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13,0.2571408333,0.6548475,0.9999741667
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14,0.2571491667,0.6579591667,0.9999975
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15,0.2574591667,0.4778091667,0.9994458333
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16,0.2568716667,0.76187,0.9999083333
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17,0.2572141667,0.8045925,0.9994866667
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18,0.2573291667,0.8065691667,0.9997483333
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19,0.2571316667,0.6892025,0.9992841667
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20,0.2576716667,0.5278108333,0.9980375
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21,0.25724,0.742345,0.9999641667
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22,0.2570333333,0.6545633333,0.9997633333
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23,0.25745,0.68938,0.99989
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block,legit_invariant,legit_naive,eve_invariant,eve_naive
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0,0.25722,0.9825916667,0.9998433333,0.999975
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1,0.257695,0.7424366667,0.9997983333,0.998495
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2,0.2575741667,0.8482983333,0.9999891667,0.9999966667
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3,0.2574108333,0.7789558333,0.9997116667,0.9998625
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4,0.2578316667,0.619975,0.9978516667,0.9999391667
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5,0.2575941667,0.6579858333,0.99976,0.9997716667
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6,0.2568508333,0.7788175,0.9997783333,0.9999341667
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7,0.2574466667,0.6938383333,0.9999633333,0.9989225
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8,0.2568958333,0.8399391667,0.9983208333,0.99991
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9,0.2572158333,0.6549775,0.9999891667,0.9999816667
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10,0.2575733333,0.4789683333,0.9995841667,0.9995091667
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11,0.2569025,0.6551183333,0.999925,0.9999741667
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12,0.2582966667,0.8479616667,0.9997208333,0.9999233333
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13,0.2579675,0.6551841667,0.9999758333,0.9996183333
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14,0.2572158333,0.6582558333,1,0.999915
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15,0.2578983333,0.4791275,0.9994441667,0.9999233333
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16,0.2570508333,0.7614066667,0.9998991667,0.9993675
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17,0.2576233333,0.8045108333,0.9994666667,0.9999475
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18,0.2571108333,0.8073525,0.9997158333,0.999985
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19,0.257955,0.6890983333,0.9992433333,0.9994441667
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20,0.25777,0.5282241667,0.9981,0.9992808333
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21,0.2568141667,0.7426725,0.9999566667,0.999965
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22,0.2578066667,0.6547841667,0.9997633333,0.9990433333
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23,0.2575241667,0.68849,0.9998791667,0.99982
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