The GhostWave team, Converge Technologies, Infleqtion, ResCon Technologies, and The Ohio State University are developing several technical improvements over a standard remote sensing setup with an atomic sensor. The team will format GhostWave’s patented low probability of intercept (LPI) random waveform technique for atomic remote sensing/communications for use with the Rydberg atomic sensor. This will enable better selection of signals at or near the RF noise floor. The apparatus will also include stand-off distance from electronics to mitigate self-induced RF noise, provided by a photonic integrated circuit (PIC) frequency doubler with cutting-edge fiber-to-chip coupling.
This technology can improve performance standards of radio receivers when compared to state-of-the-art remote classical sensing setups, thus providing a “practical quantum advantage”. Our goal is to advance the Technology Readiness Levels (TRL) by packaging the apparatus to enable stable operation in nonideal environments and demonstrating its improved performance over traditional state-of-the-art remote sensing setups at multiple stages.
The fiber-to-chip coupling technique developed by Dr. Ronald Reano’s group at the Ohio State University provides low insertion loss coupling to and from the photonic integrated circuits with high bandwidth. (Read Article)
GhostWave, working alongside Dr. Reano, proposed a feasibility study involving simulation and user engagement to identify problems and needs for fiber-to-chip couplers. Strategies for mitigating coupling loss currently include optimizing the design of on-chip components, employing efficient coupling techniques such as grating couplers or evanescent coupling, and implementing active feedback mechanisms to maintain alignment between the fiber/chip. The project will optimize the use of Rydberg atom systems. The targeted photonic integrated circuit is a wavelength converter integrated with a Rydberg atom sensor for Quantum RF applications.
When operating Beyond Visual Line of Sight (BVLOS) drones, a DAA system is necessary. However, such a system is reliant on insecure radar and other sensors that can be intercepted, jammed, or spoofed. These systems also struggle to identify long-range targets.
By utilizing GhostWave radar combined with Beam Steering technology for longer range, GhostWave can design and create DAA systems for drones and other air vehicles that are LPI and LPD.
Current radar based sensors aren't protected from jamming and are highly susceptible to interference with other electrical devices within their range. Our RF Noise Radar uses a pseudo-random radio frequency generator and is significantly less susceptible to interference which increases safety while driving.
Small and slow UAVs are hard to detect with current systems and pose a threat to forward operating bases (FOB), company compounds, and even sporting events. UAV swarms have interference capabilities and different sized drones to overwhelm systems. (Read Article)
GhostWave has developed a sensor fused solution that can identify and track up to 1000 targets per system in a 360° field of view. Camera's falter as the distance between the camera and object increases, especially in poor weather conditions or other Degraded Visual Environments. Using an advanced electro-optical and infrared sensor package, our systems will have both near and distant detection abilities, as well as specific target object classification.
The system uses GhostWave’s LPD radar, so it can be placed in forward operating bases (FOB) to detect incoming UAV swarms without breaking stealth. Congested or jammed environments are not a problem thanks to the radar’s LPI characteristics.
GhostWave radars can be applied to any existing radar applications. Even more exciting is that the advantages of GhostWave radar also allow the team to inovate solutions for unique problems only GhostWave can solve.
Honey bees today are subject to numerous natural and manmade pressures which are leading to colony loss and wild pollination extinction. GhostWave is proposing a solution of the first radar-based, non-invasive hive monitoring system, utilizing our patented radar technology to safely measure the health of a colony.