ECHONETv1.0
>Initializing distributed sensor array.....
>Establishing network coordination layer...
>Loading C2 interface protocol.............
>Verifying node synchronization............
>System ready..............................
DISTRIBUTED SENSING NETWORK0%
VALHALLA · DETERMINISTIC C-UAS SCENARIO SIMULATION

A deterministic synthetic testbed, and the scorer that grades the engine against ground truth.

Valhalla generates physically consistent synthetic sensor evidence, then scores a fusion engine against known ground truth. Same seed in, byte-identical evidence out.

Synthetic-by-designDeterministicPhysics-consistentOpen methodology
What it produces

A deterministic core, four sensor models

A deterministic core (seeded PRNG, WGS84/ENU geometry, nanosecond time model) drives four sensor-physics models: passive RF, acoustic with a real propagation-delay solver (c_eff = 331.3 + 0.606·T + wind), thermal via pinhole projection, and external radar. Each run exports typed observations, per-field provenance, ground truth, and a SHA-256 manifest.

MODEL 01 · PASSIVE RF

Passive RF

A passive radio-frequency model for cooperative and emitting platforms, driven by the same seeded core as every other sensor.

MODEL 02 · ACOUSTIC

Acoustic propagation

Acoustic detection with a real propagation-delay solver: c_eff = 331.3 + 0.606·T + wind. Delay and range follow from the physics, not from a table.

MODEL 03 · THERMAL

Thermal (pinhole)

Thermal detections via pinhole projection, so a target's apparent position is geometrically consistent with the sensor pose.

MODEL 04 · RADAR

External radar

An external radar feed, modeled as a fourth independent observation source the fusion engine has to reconcile.

Synthetic

The engine's evaluation oracle

Datasets run through EchoCore AI unmodified, and the scorer grades fusion output for track purity, cross-target and RID-spoof contamination, and clutter false tracks, over an 8-seed sweep against ground truth. Every number is synthetic pipeline behaviour, never detector performance.

valhalla · tactical replay
Tactical replay of one synthetic sweep run. Synthetic data, graded against simulation ground truth. Not detector performance.
Evidence sample · raid_demo · 8-seed sweepechocore.fusion_score_sweep.v1
0.420.96
mean track purity
0.940.11
cross-target contamination
1020
spoof-dominated tracks
11
clutter-dominated tracks
0.69
tracked-epoch rate
per-target tracked-epoch: dji 0.45 · fiber 0.26 · shahed 0.24 · birds 0.006-0.06 · 8-seed sweep
Synthetic
Real values from a Valhalla 8-seed synthetic sweep. Pipeline behaviour over simulated detector outputs and simulation ground truth, not detector performance, not field validation.

Bifrost: a published DND counter-UAS challenge, modeled in our own simulator

DND publishes the rules for its counter-UAS challenges, so we built a representative one as an operational scenario inside Valhalla. Bifrost emits geometry- and threat-faithful synthetic test sets for that scenario and reproduces the structure of its red-team protocol as a Monte-Carlo simulation over synthetic trajectories. Modeling a published challenge in our own software lets us exercise the exact geometry and threats ahead of the field, and de-risk preparation against a known scenario instead of a guessed one. We model the scenario faithfully. We do not claim to meet any challenge outcomes, and every detection range is a modeled estimate, never measured hardware performance.

Secured fence: 2.5 km
Detection cylinder: 10 km out, up to 3048 m AGL (stretch 30 km)
Primary threat: NATO Class I micro, DJI Phantom-4 class, ~50 km/h
RF-dark case caught by acoustic plus radar

Scenario requirements modeled in Valhalla. Synthetic test sets only, not a claim of challenge compliance.

Roadmap, not a product
Concept of the roadmap placement optimizer over a synthetic scenario. In active development. Synthetic, not a fielded product.

Seed of a deployment planner

The node-placement engine is a pure, reusable function, the seed of a future deployment-planning tool. That tool is a roadmap option with a go/no-go decision in December 2026, not something we offer today.

Valhalla is a TRL 4-5 software testbed. The visualization layer is in active development toward the September 2026 demonstration at CFB Suffield.

Claim discipline

Everything Valhalla produces is synthetic and labelled synthetic in field provenance. It never produces real sensor data, validated detector performance, or field evidence. Its claim is exact: physically consistent simulated detector outputs, for pipeline validation, doctrine testing, and demonstration.

EchoCore AI Inc., Calgary.
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