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Four-scheme jamming comparison and a fully generated refresh table

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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.
This commit is contained in:
KiHoLee
2026-08-13 22:22:18 +09:00
parent 057c555374
commit c31e6a3fe0
17 changed files with 192 additions and 61 deletions
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data/sec_jam_cmp.csv
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jsr_db,blind,matched,perm_blind,oma_targeted
-10,0.4691233333,0.7203966667,0.4694833333,0.6401244609
-5,0.6347966667,0.87413,0.6333466667,0.8146859285
0,0.80602,0.95331,0.8066566667,0.9237966241
5,0.9194566667,0.98428,0.9189733333,0.9727474174
10,0.9703833333,0.99481,0.97034,0.9908905586
15,0.9903833333,0.9983633333,0.9900733333,0.9970319887
20,0.9967733333,0.9995166667,0.9968766667,0.9990359654
1 jsr_db blind matched perm_blind oma_targeted
2 -10 0.4691233333 0.7203966667 0.4694833333 0.6401244609
3 -5 0.6347966667 0.87413 0.6333466667 0.8146859285
4 0 0.80602 0.95331 0.8066566667 0.9237966241
5 5 0.9194566667 0.98428 0.9189733333 0.9727474174
6 10 0.9703833333 0.99481 0.97034 0.9908905586
7 15 0.9903833333 0.9983633333 0.9900733333 0.9970319887
8 20 0.9967733333 0.9995166667 0.9968766667 0.9990359654