Rockwell Collins, Inc.

Other

Jeffrey B Bishop

Brian J Herting

Michael H Stockmaster

Malcolm H Pope

Ying Cho Lai

Scott W Stadelmann

Stephen G Carlson

John R Moore

Bryan N Wesner

An antenna system may include an antenna array configured to receive one or more signals. In embodiments, the antenna system further includes one or more signal processors configured to: determine a beamforming weight vector (W) for the antenna array; determine a first seeding weight vector (W) for the antenna array, wherein the first seeding weight vector (W) comprises a first nulling weight vector (W) or a second beamforming weight vector (W); determine a first nullforming adjustment factor (&#x3b7;) for the antenna array; calculate a first nullforming weight vector (W) based on at least the beamforming weight vector (W), the first seeding weight vector (W) and the first nullforming adjustment factor (&#x3b7;); and form a first antenna pattern based on the first nullforming weight vector (W) to generate a first antenna electronics (AE) output signal, wherein the first antenna pattern generates a first set of one or more nulls.

System and method for nullforming with anti-jam antenna electronics

A radar system and a method can utilize a radar antenna, such as, an active electronically scanned array antenna. The radar system can include a processor configured to scan a volume of space via the radar antenna to detect aircraft threats and to detect weather threats. The processing system can utilize a first pattern to detect the aircraft threats or obstacles and a second pattern to detect the weather threats.

Radar system and method of due regard/detect and avoid sensing and weather sensing

A system for diagnosing medical conditions, such as low back pain (LBP), is provided, whereby a neural network is trained by presentation of large amounts of clinical data and diagnostic outcomes. Following training, the system is able to produce the diagnosis from the clinical data. While the present invention may be useful in diagnosing LBP in one embodiment, other applications of the present invention, both in the medical field and in other fields, are also envisioned. This intelligent diagnostic system is less expensive and more accurate than conventional diagnostic methods, and has the unique capability to improve its accuracy over time as more data is analyzed.

System for diagnosing medical conditions using a neural network

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Solon, IA, United States of America

Jeffrey B Bishop