Abstract: A method for generating an electromagnetic-profile digital map creates a visual map that includes all obstacles on the road, including road textures, other vehicles, and more. This is achieved by collecting data from specialized deployed vehicles for subsequent processing and compilation. The generated electromagnetic-profile digital map provides three dimensional geographic characteristics of a road, thus enabling automatic driving. The method further utilizes artificial intelligence technology that can improve an autopilot role in automatic driving. Electromagnetic (EM) profiles acquire and analyze data to provide powerful tools for various wireless vehicular communication services. The method utilizes both compiled digital geographical characteristics (location, road futures, including curvature, condition, and more), and surrounding features (3D images, elevations, traffic light location, speed limit, EM propagation profile, and more) to render road conditions.

Abstract: A system and method for vehicle-tracking and localization with a distributed sensor network is provided that includes a plurality of cellular station. A pilot signal is received from the vehicle with an arbitrary station. The pilot signal is compared to each vehicle profile with the arbitrary station in order to identify a matching profile. Spatial positioning data is received for the vehicle with the arbitrary station. The vehicle profile and the spatial positioning data is relayed from the arbitrary station to the at least one proximal station from the plurality of cellular stations. A plurality of iterations is executed. The spatial positioning data is compiled from each iteration into a predicted path for the vehicle with the cellular stations. A warning notification is sent from the arbitrary station of the current iteration to the vehicle, if the predicted path is intersected by at least one hazard.

Abstract: A method for vehicle location estimation using orthogonal frequency-division multiplexing (OFDM) is provided with an OFDM device that consists of a wireless terminal and a multiple-input and multiple-output (MIMO) antenna. A pilot uplink signal is transmitted towards from the wireless terminal towards the intended target which is within an operational range of the MIMO antenna. Upon contacting the intended target and a plurality of target-surrounding objects, a plurality of return signals is generated to be received by the wireless terminal. A plurality of echo signals that was reflected from the plurality of target-surrounding objects is separated so that a time delay between the pilot uplink signal and the plurality of echo signals can be determined. The time delay along with a direction of arrival determined through the MIMO antenna are used to derive a location approximation for the intended target.

Abstract: A method of environmental sensing through pilot signals in a spread spectrum wireless communication system is provided with a plurality of wireless terminals. The plurality of wireless terminals includes a plurality of multi-input multi-output (MIMO) radars and at least one base station. The plurality of terminals broadcasts a beacon pilot signals containing a terminal-specific information and encoded with a corresponding identifier. Using the corresponding identifier, an arbitrary radar from the plurality of MIMO radars separates the beacon pilot signal from an ambient signal. More specifically, the arbitrary radar compares the ambient signal to the corresponding identifier of each wireless terminal to identify at least one origin terminal. Subsequently, the arbitrary radar extracts the terminal-specific information from the beacon pilot signal of the origin terminal. The terminal-specific information is used to exchange data between the plurality of wireless terminals for autonomous driving.

Abstract: A method for location approximation through time-domain subspace signals and spatial domain subspace signals is provided with an orthogonal frequency-division multiplexing (OFDM)-based wireless device that includes a wireless terminal, a multiple-input and multiple-output (MIMO) antenna, a spatial subspace processor, and a temporal subspace processor. An uplink signal is transmitted from the wireless terminal towards a plurality of targets positioned within an operational range of the MIMO antenna. A plurality of reflected signals generated from the plurality of targets and is received through the MIMO antenna. The plurality of reflected signals is processed at the spatial subspace processor to determine a direction of arrival (DOA) for each of plurality of reflected signals. Each of the plurality of reflected signals is processed by the temporal subspace processor to determine a time delay. The time delay and the DOA are utilized to derive a location approximation for the plurality of targets.

Abstract: A method for target location approximation using orthogonal frequency-division multiplexing (OFDM) is provided with an OFDM device that consists of a wireless terminal and a multiple-input and multiple-output (MIMO) antenna. In order to derive a location approximation, a pilot uplink signal is transmitted through the wireless terminal towards at least one intended target. The pilot uplink signal that is transmitted is encoded as a direct-sequence spread spectrum (DSSS). Next, a reflected-pilot uplink signal is identified from an ambient signal that returns after the initial transmission. The reflected-pilot uplink signal is decoded to retrieve the original data embedded in the pilot uplink signal. A matching time delay is calculated between the pilot uplink signal and the reflected-pilot uplink signal. A direction of arrival (DOA) is determined from the MIMO antenna. Finally, the matching time delay and the DOA are used for location approximation.

Abstract: A method of adaptative-array beamforming with a multi-input multi-output (MIMO) automobile radar includes a MIMO radar for transmitting a plurality of initial scanning beams in a radial direction. The plurality of initial scanning beams is transmitted one by one at each direction. Accordingly, the MIMO radar receives a reflected scanning beam, wherein each reflected scanning beam is associated with a corresponding initial scanning beam. The reflected scanning beam is used to detect at least one low-resolution target. Subsequently, the MIMO radar transmits a plurality of initial tracking beams, wherein each initial tracking beams is directed towards a low-resolution target. This results in generation of a corresponding reflected tracking beam for each of the plurality of initial tracking beams. Finally, the MIMO radar detects at least one high-resolution target within each reflected tracking beam.

Abstract: A method of implementing spread spectrum techniques in an automotive radar with wireless communication capabilities enables an anti-jammer radar capable of overcoming channel noise. The method is provided with a MIMO radar and at least one base station. The MIMO radar transmits the initial uplink signal and receives an ambient signal containing a reflected uplink signal and the downlink signal. The initial uplink signal is encrypted to overcome channel noise and jamming signals. The downlink signal is used to establish wireless communication between the base station and the MIMO radar. As such, the downlink signal is filtered and processed from the ambient signal. Similarly, the reflected downlink signal is also filtered from the ambient signal. Finally, the MIMO radar decrypts the reflected uplink signal to detect a plurality of targets and derive spatial positioning data for each target.