Adaptive Query™ Articles Spatial Substrate Mesh-Derived Coordinates

Mesh-Derived Coordinates

Cooperative localization with credentialed ranges. Densification on demand.

US 64/049,409 · provisional
Mesh-Derived Coordinates: Cooperative Localization With On-Demand Densification

GNSS is the load-bearing assumption of modern autonomy, and it fails predictably: jammed in defense theaters, multipath-degraded in urban canyons, denied indoors, deliberately spoofed in critical infrastructure attacks. This article introduces mesh-derived coordinates: cooperative localization across fifteen-plus ranging modalities with credentialed range observations, anchor-less relative-frame bootstrap, and on-demand reference-node densification.

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Multi-Modality Cooperative Ranging

Mesh-derived coordinates produce positions through mutual ranging across fifteen-plus modalities — UWB time-of-flight, lidar reflection, radar, optical fiducial range, RFID proximity, NFC adjacency, acoustic echo, BLE RSSI, magnetic dipole, GNSS pseudorange, inertial integration, visual SLAM correspondence, and others.

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Cooperative Localization Across Mesh Units

Mesh-derived coordinates emerge from cooperative localization where each unit contributes range observations to others. The coordinate frame is a structural product of the cooperation rather than a broadcast from a central authority.

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Relative Frame Bootstrap Without Absolute Reference

Mesh units deployed to a new operating region produce a relative coordinate frame from mutual ranging before any absolute reference is available. Operations begin in relative frame; absolute binding follows as anchor observations accumulate.

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Credentialed Range Observations With Lineage

Each range observation entering the multilateration solver is governance-credentialed: the contributing unit signs the observation, the modality and uncertainty are declared, and the observation is recorded with full lineage for downstream audit.

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Lineage-Bound Multilateration

The multilateration solver produces position estimates bound to the lineage of contributing observations. The position is not an opaque output; it is a structured claim with traversable provenance back to each contributing range observation.

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Anti-Spoofed Observation Rejection

The architecture rejects observations carrying invalid credentials, anomalous timing patterns, or modality outputs inconsistent with cross-modality cross-checks. Spoofed observations fail the admissibility evaluation rather than entering the position solution.

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Reference Node Densification

Operating regions gain positioning quality through reference node densification — additional anchor units with surveyed or GNSS-derived position bind the cooperative solution to absolute frame at progressively higher confidence as density increases.

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Airdroppable and Rapidly-Deployable Reference Nodes

Forward-deployed operations gain rapid mesh establishment through airdroppable reference nodes that self-survey on landing, acquire GNSS or external reference binding, and contribute as anchors to the cooperative solution within minutes of deployment.

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Coordinate Frame Federation Across Mesh Regions

Adjacent mesh regions maintain their own coordinate solutions and federate at boundaries through credentialed cross-region observations. The federated frame supports operations spanning region boundaries without forcing a single global solution.

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Cross-Jurisdictional Coordinate Alignment

Operations crossing jurisdictional boundaries (national borders, regulatory regions, operating-authority territories) require coordinate alignment that respects each jurisdiction's positioning authority. Cross-jurisdictional alignment composes the regional authorities through declared agreements.

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GNSS-Denied Defense Positioning

Defense operations under GNSS denial gain structurally-supported positioning through multi-modality cooperative ranging. The architectural primitive provides positioning that survives the GNSS-denial that contested-environment doctrine assumes.

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Subterranean Operations Positioning

Subterranean operations (mining, tunneling, search-and-rescue, defense underground) face structural GNSS denial. Multi-modality cooperative ranging provides positioning that subterranean operations have historically lacked.

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Urban Canyon Civilian Positioning

Urban canyon environments produce structural GNSS degradation. Multi-modality cooperative ranging provides positioning resilience that urban operations require for emerging autonomous-mobility deployment.

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Autonomous Shipping Ocean Positioning

Maritime Autonomous Surface Ships (MASS) operations under IMO frameworks require positioning resilience and audit-grade positioning lineage beyond conventional GPS. Mesh-derived coordinates provide structural support for autonomous-shipping deployment.

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DDoS-Resilient Positioning Through Mesh Cooperation

Coordinated GPS jamming and spoofing operations targeting positioning infrastructure produce cascading effects across operational domains. Mesh-derived coordinates produce structural defense through cooperative multi-modality ranging that single-modality jamming cannot defeat.

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Drone Airspace Integration Positioning

Drone airspace integration (FAA UTM in U.S., EASA U-space in Europe, similar emerging frameworks) requires positioning resilience and credentialed positioning lineage that single-modality GPS cannot match. Mesh-derived coordinates support drone-airspace integration structurally.

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Indoor Medical Positioning for Hospital Operations

Hospital operations integrate patient-tracking, asset-tracking, infection-control monitoring, and staff-coordination into Real-Time Location Systems (RTLS). Mesh-derived coordinates with credentialed multi-modality ranging support hospital-grade positioning beyond current vendor-specific RTLS deployments.

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Sub-Meter Positioning for Mass-Market Mobile

Emerging consumer applications (precise indoor navigation, AR/VR positioning, mass-market autonomy) require sub-meter positioning that smartphone-class GPS cannot deliver. Cooperative multi-modality ranging integrated into smartphone-class hardware supports mass-market sub-meter positioning.

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Hexagon HxGN SmartNet Lacks Architectural Cooperative Substrate

Hexagon's HxGN SmartNet operates a global GNSS-corrections network. The architectural element above SmartNet — cooperative ranging across credentialed markers that doesn't depend solely on reference-station infrastructure — is what mesh-coordinates primitive provides.

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Locata Positioning Lacks Architectural Cooperative Substrate

Locata operates a precise terrestrial-positioning network for industrial and indoor environments. The architectural element above Locata — cooperative ranging across multiple modalities supporting cross-deployment composition — is what mesh-coordinates primitive provides.

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NextNav Pinnacle Lacks Cooperative Multi-Modality Substrate

NextNav's Pinnacle terrestrial-PNT service provides terrestrial backup positioning. The architectural element above Pinnacle — cooperative multi-modality ranging that doesn't depend on single-network broadcast — is what mesh-coordinates primitive provides.

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Apple UWB Lacks Architectural Mesh-Cooperative Substrate

Apple's U1/U2 UWB chip integration across iPhone, AirTag, and emerging Apple products produces UWB-deployment scale. Architectural element — cooperative-mesh substrate — is what mesh-coordinates provides.

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Decawave/Qorvo UWB Lacks Architectural Cooperative Substrate

Decawave (Qorvo) operates major commercial UWB-IC platform. Architectural element — architectural cooperative-ranging substrate — is what mesh-coordinates provides.

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Septentrio GNSS Lacks Cooperative Multi-Modality Substrate

Septentrio operates major commercial multi-frequency GNSS platform. Architectural element — cooperative multi-modality ranging — is what mesh-coordinates provides.

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Topcon Positioning Lacks Cooperative Multi-Modality Substrate

Topcon operates major commercial positioning platform across agriculture, construction, and surveying. Architectural element — cooperative ranging — is what mesh-coordinates provides.

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u-blox GNSS Modules Lack Cooperative Multi-Modality Composition

u-blox operates major commercial GNSS-module platform across automotive, industrial, and IoT customers. Architectural element — cooperative ranging composition — is what mesh-coordinates provides.

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Nick Clark Invented by Nick Clark Founding Investors: Devin Wilkie