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Airborne example / Product visualization

Distributed radar · Situational awareness

Awareness.
Everywhere.

Understand what moves around you.
Building accessible, networked radar sensing.

Explore the system

Bench platform live · Field validation next

01 / The ideaDistributed radar sensing

A world in motion.
A clearer picture.

RASD is building distributed radar for general detection and situational awareness. People, vehicles, and airborne objects are application areas we’re exploring—not separate definitions of the company.

01 / DetectSense motion.
Observe physical targets.

02 / ConnectBring local observations
into one picture.

03 / InformTurn observations
into useful awareness.

People / Bench evidence

Human motion.

Approach, movement, and direction. Our starting point is measured indoor human Doppler.

Vehicles / Intended application

Ground movement.

Exploring radar sensing for vehicles moving through sites and access routes. Field validation ahead.

Airborne objects / Intended application

Beyond the ground.

Drones are one potential use of the platform. The animation illustrates this application, not a validated deployment.

Explore the engineering record

Current bench results and development targets. Product visualizations illustrate intended applications, not recorded detections or validated classification.

Experiment 001 / Human motionCW Doppler · I/Q
Doppler spectrogram from the RASD bench radar: a person walking back and forth appears as a repeating zigzag of positive and negative radial velocity around ±1 m/s, with a white tracked-peak line following the motion.
Approach. Turn. Recede.

A person walking an approximately 0–5 m indoor path. 36 clips; 54 seconds of active capture. Direction resolved with preliminary I/Q calibration. This demonstrates human motion detection—not drone detection or validated outdoor range.

Measured

Motion & direction

Physical bench hardware. Repeatable human Doppler. Working CW and FMCW acquisition.

Modeled

Range targets

First node: ~150 m. Larger 16-channel array: 300–400 m class. Separate architectures, both modeled under link-budget assumptions — field verification pending.

Next

Into the field

Field validation, labeled target data, and the first custom radar node.

02 / The blind spotWhy radar

Movement is information.
Make it useful.

Radar senses reflections from physical objects. Our focus is turning those observations into a useful picture of movement—not building around one target type.

We’re working toward accessible sensing for site awareness, monitoring, and security. Each environment and application needs its own validation.

03 / The architectureProduct concept

Small nodes.
A wider picture.

Distributed sensing, built toward one view of movement across a site. Placement depends on the environment and the targets being observed.

The target economics
  1. 01

    Distribute the sensing.

    Compact 24 GHz nodes around the perimeter. Placement and coverage will be validated site by site.

  2. 02

    Connect the picture.

    Planned track fusion brings observations together. One coherent view is the goal.

  3. 03

    Inform the response.

    Working toward useful tracks, alerts, and integration with other sensors. Outputs shaped by the application.

One application / Illustrative airborne detection

A drone enters a distributed radar network Product concept: a drone approaches a facility, radar nodes acquire its track, and an operator receives an alert. Not recorded detection or validated coverage. 01 02 03 04 05 06 ILLUSTRATIVE ALERT Track acquired ↗ CONCEPT VISUALIZATION / NO RECORDED DATA
  1. 01Approach
  2. 02Detect
  3. 03Track
  4. 04Alert
Product visualization

Approach. Detect. Respond.

04 / The economicsProduction targets · Not a quote

Radar ambition.
Camera economics.

A distributed footprint
N01N02N03N04N05N06N07N08
One planned system
$2–3kTarget price / node
<$25kIllustrative hardware package / site
~8Nodes / illustrative layout
Designed for density

Preliminary targets, not deployed-system pricing. The eight-node example is illustrative: coverage depends on geometry, terrain, clutter, and elevation. Installation, cabling, commissioning, and software subscriptions are excluded. Outdoor performance remains unvalidated.

05 / The companyRASD Technologies

Built from
the bench up.

Three technical cofounders. Hardware, signal processing, and systems development under one roof.

Our long-term bet is better signal processing and better labeled field data: the foundation for detection, tracking, and future target classification across applications.

Build the next stage with us

Seeking field partners.
Opening investor conversations.

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