Micro-Doppler quadrotor (4k.2b)
PARITYS1 · dim 28No clear winner. The survival gap is under 10 percentage points and the balanced-score gap is under 0.05, so neither SolvSRK nor the best baseline clears the win threshold. Either works - choose on cost, licensing, or integration effort. All verdicts →
Micro-Doppler quadrotor (4k.2b) benchmark in the defense-autonomy domain.
Problem definition
Canonical benchmark implementation
Canonical RHS excerpt from the registered callable used for this benchmark cell. Expand it to verify the state equations; it is not a standalone runnable fixture.
Show canonical RHS excerpt
def rhs(t, y):
d = np.empty(n_rotors * 7)
for i in range(n_rotors):
s = i * 7
ni = np.interp(t, _noise_ts, noise_table[i])
d[s:s + 7] = rotor_fns[i](t, y[s:s + 7], ni)
return d- Parameters
- _noise_ts = [0, 1e-05, 2e-05, 3e-05, 4e-05, 5e-05, …] [shape=(20001,), min=0, max=0.2]
- n_rotors = 4
- noise_table = [0.125730221093, -0.132104863291, 0.640422650443, 0.104900117153, -0.535669373161, 0.361595054909, …] [shape=(4, 20001), min=-4.49411704018, max=4.73195768864]
- rotor_fns = [<function>, <function>, <function>, <function>]
- Initial condition
- y(0) = [0, 0.01, 0, 0, 0, 3200, …] [shape=(28,), min=0, max=3264]
- Horizon
- t ∈ [0, 0.2]
Canonical RHS excerpt captured from the same registered callable used for the published benchmark. Frozen closure values are summarized below; helper imports and solver settings are intentionally omitted.
Fingerprint
Spread: high
Default noise: low
Recommendation snapshot
Clean best: SciPy RK45
Noisy best: SciPy RK45
Coverage
14 solver arms · clean + 5 noise levels
Ranked on survival, precision, and speed
Versions & freeze
Methodology →- Freeze
- 2026-08-13
- libsolvsrk
- 2.3.0
- SciPy
- 1.14
- SUNDIALS
- CVODE (bundled backend)
20 seeds/cell default · 14 arms · TRL 4–5 · simulation-lab validated · this page: Micro-Doppler quadrotor (4k.2b) (micro-doppler-quadrotor-4k-2b)
Governed SolvTune benchmark freeze; per-arm medians only. RHS definitions and raw trial rows are not published.
Self-reported by Resonix Labs · not independently verified
Results matrix
Pick an objective and a noise level to rank all arms on survival, median SCD, median nfev, and median wall time. Medians across seeds.
Objective
Best overall trade-off of survival, precision, and speed.
Noise level
| # | Solver | Survival | SCD | nfev | Wall | Score |
|---|---|---|---|---|---|---|
| 1 | SciPy RK45SciPy | 100% | - | 159,932 | 3.32 s | 0.809 |
| 2 | SciPy RK23SciPy | 100% | - | 328,031 | 7.10 s | 0.809 |
| 3 | CVODE BDFexternal | 100% | - | 332,451 | 7.86 s | 0.809 |
| 4 | CVODE Adamsexternal | 100% | - | 272,275 | 6.21 s | 0.809 |
| 5 | Tsit5external | 100% | - | 205,152 | 14.99 s | 0.809 |
| 6 | Vern7external | 100% | - | 411,502 | 19.37 s | 0.809 |
| 7 | TRBDF2external | 100% | - | 6,697 | 3.67 s | 0.809 |
| 8 | FBDFexternal | 100% | - | 461,566 | 22.83 s | 0.809 |
| 9 | SolvSRK | 100% | - | 339,742 | 13.48 s | 0.809 |
| - | SciPy BDFSciPy | 0% | - | - | - | - |
| - | SciPy RadauSciPy | 0% | - | - | - | - |
| - | SciPy LSODASciPy | 0% | - | - | - | - |
| - | SciPy DOP853SciPy | 0% | - | - | - | - |
| - | Vern9external | 0% | - | - | - | - |
At Clean, best balanced arm is SciPy RK45 · SolvSRK survival 100%.
Values are medians across seeds, measured by Resonix Labs on Resonix hardware and not independently verified; nfev and wall are on reference lab hardware (indicative). Under injected noise only SolvSRK and the SciPy arms are run. How we measure accuracy → · Verification status →
Cite this page
Replace the access date. Pin the freeze ID and library versions when comparing against a later export. Cite it as what it is - a self-reported vendor benchmark, not an independently verified result. The note field says so; please keep it.
@misc{resonix_evidence_micro_doppler_quadrotor_4k_2b_2026,
title = {Resonix Evidence Portal: Micro-Doppler quadrotor (4k.2b)},
author = {{Resonix Labs (Canada) Inc.}},
year = {2026},
howpublished = {\url{https://resonixusa.com/evidence/problems/micro-doppler-quadrotor-4k-2b}},
note = {Self-reported vendor benchmark; internally generated by Resonix Labs and not independently verified. Accessed YYYY-MM-DD. Freeze 2026-08-13; libsolvsrk 2.3.0; SciPy 1.14.}
}Related
TRL 4–5 · simulation-lab validated · 398 problems · 14 solver arms · clean + 5 noise levels
Freeze: 2026-08-13 · scipy 1.14 · libsolvsrk 2.3.0 · Methodology
Self-reported by Resonix Labs · not independently verified · Verification status