The University of Arizona

Lunewave Inc.

Min Liang

Hao Xin

Mark Allen Neifeld

Siyang Cao

Tamal Bose

Jiang Xin

Michael Marefat

Hamed Asadi

Ning Cao

Ahmed Abdelrahman

Tim Harvey

A sensing system is provided that includes a first sub-sensing system having a first azimuth plane. The first sub-sensing system includes a Gradient-index lens, and a first plurality of antenna elements arranged adjacent to the Gradient-index lens and configured to receive a first signal emanating from a first field of view. The sensing system also includes a second sub-sensing system having a second azimuth plane oriented at an angle with respect to the first azimuth plane and a second plurality of antenna elements configured to receive a second signal emanating from a second field of view.

Automobile radars based on gradient-index lens

A high performance, low-cost automotive radar is designed by mounting receivers around a 3D printed Luneburg lens. With this configuration, the antenna radiation pattern is maintained for all angles, (which means no beam deformation). Further, the present radar is capable of performing detection at all azimuth and elevation angles with high angle resolution and broadband operation. The radar adaptively adjusts its spatial sensing pattern, sweeping frequency band, pulse repetition frequency and coherent processing interval according to the environment. This is accomplished by initially performing a rough scan, which updates sensing results via a narrow bandwidth waveform and wide beam scanning. When interested objects are identified, a high-resolution detailed scan is performed in a specific region of interest. In this way, a much more effective detection can be obtained. Moreover, a method of mitigating interference of the 3D printed Luneburg lens based radar and a method of improving the angle resolution using a lens based MIMO approach is disclosed.

Automotive radar using 3D printed luneburg lens

A hollow light-weight, low-cost, and high-performance 3D Luneburg lens structure using partially-metalized thin film, string, threads, fiber or wire base metamaterial to implement the continuously varying relative permittivity profile, characteristic of Luneburg lens structures, is disclosed. The hollow light-weight lens structure is based on the effective medium approach and may be implemented by a number of means. Further, most of the volume of the lens structure is free-space, thus the weight of the lens is significantly less than conventional 3D Luneburg lens structures of the same dimensions.

Hollow light weight lens structure

A cognitive HF radio is disclosed having a cognitive engine that optimizes HF transmission parameters on the basis of learned experience with previous transmission under varying transmission and environmental conditions. Additionally, electrically small HF antennas optionally using non-Foster matching elements are disclosed. Furthermore, another electrically small HF antenna and associated impedance matching networks are disclosed, including an impedance matching network using non-Foster matching elements.

Cognitive HF radio with tuned compact antenna

A threat detection system having a reconfigurable reflect-array and compressive sensing unit to effectively detect objects that are a threat is presented. A statistical library, having a wide range of threat and non-threat examples and capable of incorporating new examples while being used, is utilized by several optimization algorithms to calculate an optimal illumination pattern for compressive sensing detection. The reflect-array is configured to produce the optimal illumination pattern via a plurality of reflect-array elements. In this way, a plurality of data may be parallel processed, thereby increasing the detection speed and reducing cost.

Growing community of inventors

Tucson, AZ, United States of America

Min Liang