Low-cost ISR Sensor Processing and Data Exploitation
applications: Sense and Avoid micro-Radar for nanorobots ~
Intelligence, Surveillance, Target Acquisition and Reconnaissance Sensor ~
Unmanned/Unattended Sensors ~ Sensor Mesh Networks X
Revolutionary holographic [fly eye] radar sensor technologies based on an array of directional antennas to eliminating the need for a mechanical scanning antenna or complicated phase array processors. radar technology concept based on small continuous surveillance of entire sky (360 degree by azimuth and elevation) for separate or swarm of micro/nano drones.
Monopulse technology increases bearing accuracy several folds and radar sensor can be multi-functional, multi-frequency. Fly eye micro-radars are inexpensive and can be expendable. Prototype of sense and avoid radar with two directional antennas has been designed and bench tested.
Hologramic object data for each of the 360 degree locations is replaced from each compass point to compensate for its sensor’s inability-to-point at a target objects. Holographic/Fly-Eye concept consists of multiple angularly shifted sensors for wide-area visual coverage needed to detect and avoid threats. Each antenna array is coupled to a detector / memory with space shifted multiple directional antennas to provided simultaneous high-accuracy amplitude and phase measurements for multiple angular points with minimal distance between antennas.
For classification of hologram objects data is processed using artificial intelligence (AI) – Deep learning algorithms (CNN, backprop…).
Development of Explosive Detection Prototype is a method based on RF Spectrum Signature
as unique fingerprint for each detected object to enhance selectivity of digital biometrics or scene identification
Computer vision technology concept based on low power portable device (cell phone)
to penetrate through clothes and structural walls. The concept recognizing humans, explosives, and chemicals signals versus large expensive optical lenses device.
Edge Digital Sensor Data represents direction, depth and signature of objects
that transfers frequency, amplitude and time data in nanoseconds to AI Big Data Cloud Cluster Network.