King Abdulaziz University

Ahmed Barnawi

Min Chen

Bander A Alzahrani

A distributed airborne acoustic anti-drone intelligence system (DAAADS) which senses an unmanned aerial vehicle (UAV) approaching a protected site, predicts trajectories of the UAV which intersect the protected site and identifies the type of the UAV. When at least one of the trajectories intersect the protected site, an alarm and predicted trajectories are transmitted to an air defense unit, which neutralizes the UAV. Debris generated by the neutralization is tracked and trajectories of the debris are predicted. When a trajectory of the debris is predicted to intersect with the protected site, an alert is transmitted to the protected site.

System and methods to neutralize an attacking UAV based on acoustic features

A system, method, and non-transitory computer readable medium that detects trajectories of unmanned aerial vehicles (UAV) approaching a protected site is described. Airborne defense agents (ADAs) located at a fixed radius from the protected and equidistant from one another detect acoustic signals emitted by an approaching UAV. Circuitry included in each ADA use the detected acoustic signals to determine a direction and a distance of each UAV. A base station having a control center (BS-CC) located in the protected site communicates with the ADAs to aggregate direction and distance data from the ADAs. Using the aggregated direction and distance data, the BS-CC predicts routes towards the protected site of the approaching UAV and alerts the protected site of the predicted route of the approaching UAV.

Method to identify routes of unmanned aerial vehicles approaching a protected site

A method for real-time crowd management includes receiving LiDAR point cloud data from area of interest, forming a 3D static surface model of area of interest from LiDAR point cloud data, obtaining real-time CCTV camera images of area of interest, adding real-time CCTV camera images to 3D static surface model to generate real-time dynamic 3D model, identifying dynamic objects in the 3D model, generating a density map of an area of interest, adding density map to the 3D model, identifying which dynamic objects are people, replacing each person with animated character, displaying real-time dynamic 3D model, monitoring the 3D model in the area of interest for dangerous situations, simulating evacuation of area of interest by manipulating animated characters onto pathways leading away from area of interest, forming an evacuation strategy for crowd, and transmitting a notice of the dangerous situation and the evacuation strategy to an emergency authority.

Crowd evacuation system based on real time perception, simulation, and warning

A distributed acoustic anti-unmanned boat intelligence system (DAAUBS) for detecting unmanned boats (UB) approaching protected sites includes a plurality of airborne defense agents (ADAs) and a base station. Each ADA is equipped with air balloons, tethers, buoys, a directional microphone array, a first computing device, and a transceiver. The first computing device causes at least processor to determine information regarding each approaching UB. The base station includes a control center configured with a wideband communications link configured to communicate with the transceiver of each ADA. The DAAUBS control center includes a second computing device performing an intelligence method. The second processor receives and aggregates the data of each approaching UB and performs adaptive noise cancellation to remove environmental background noise. The second processor uses a deep learning classifier to classify at least one of a type and size of the UB.

Distributed acoustic anti unmanned boat system

Blimp-based aerial UAV defense system

A system and methods for transmission and non-coherent detection of data signals modulated by a plurality of overlapping chirps in a chirp spread spectrum communication system (CSS). Data signals input to an adaptive overlapping transmitter are modulated by a plurality of overlapping chirps and transmitted over a wireless communication system to a non-coherent receiver. The coherent receiver includes a chirp matched filter which matches the chirps to an internal chirp signal, a delay filter which delays each chirp, a multiplier which multiplies each delayed chirp by a next chirp, an integrator which sums the amplitudes of the chirps and decision circuitry which determines the polarity of each sum and outputs a stream of ones and zeroes representing the data signals.

Signal detection method for non-coherent detection in a chirp spread spectrum communication system

Blimp-deployed anti-drone system

Wireless communication method for modulating data signals in a chirp spread spectrum communication system

Distributed airborne acoustic anti drone system (DAAADS)

Method and apparatus for non-coherent detection of overlapped chirp signal to increase data rate of a chirp spread

A system and methods for transmission and coherent detection of data signals modulated by a plurality of overlapping chirps in a chirp spread spectrum communication system (CSS). Data signals input to an adaptive overlapping transmitter are modulated by a plurality of overlapping chirps and transmitted over a wireless communication system to a coherent receiver. The coherent receiver includes a chirp matched filter which detects the chirps, a fast Fourier transform which converts the received chirps to the frequency domain, a plurality of bandpass filters which separate the transformed chirps by frequency band, and bank of integrators which sums the amplitudes of the chirps in each frequency band, and decision circuitry which matches the amplitudes to reference values and iteratively decodes the bit sequences of to recover the data signals.

Coherent detection of overlapping chirp symbols to increase the data rate of chirp spread spectrum (CSS) communication method and system

The cognitive radio system and method uses a wideband chirp signal for characterization of the spectra that a mobile radio may use. A cognitive radio base station broadcasts the low power reference wideband chirp signal with bandwidth covering the sensed spectrum. At the receiver, spectral resolution in the presence of white noise is achieved by cross-correlating the chirp signal with a locally generated copy of itself (i.e., matched filtering). A Fast Fourier Transform (FFT) is applied to the output of this matched filtering. The FFT output is fed to a decision circuitry, where a threshold value is set to decide the minimum amplitude of utilized frequencies. This process eases sensing computational complexity and improves the quality of sensing, thereby offering enhanced cognition at the cognitive radio receiver.

Growing community of inventors

Jeddah, Saudi Arabia

Ahmed Barnawi