Rockwell Collins, Inc.

Jason A Fuemmeler

Carlos J Chavez

Robert J Frank

Shubha L Kadambe

Gina M Reyes

Michael N Newhouse

W Sam Spencer

James B West

Anders P Walker

Orion D Davies

Gary Willenbring

Benjamin J Haan

Guy Squillace

William S Spencer

Shubba L Kadambe

An integrated imaging and passive directional finding (DF) system for a guided munition or weapons platform includes an electro-optical infrared (EOIR) imager within a nosecone of the weapons platform and configured for imaging of a detected target. The passive DF system includes an array of long periodic array (LPA) antenna elements, each element disposed on a face of a tapered conical ground chassis having a polygonal cross section, the LPA antenna elements self-shielded from the EOIR imager and other electronic components by the ground chassis. Each LPA antenna element scans for signals of interest (SoI) within the ultra-wide band (UWB) frequency range. Geolocation or passive direction finding (DF) based on detected signals of interest may be performed to guide the weapons platform into imaging range of one or more targets of interest, where EOIR imaging may take over for target discrimination and aimpoint refinement.

Integrated infrared imaging and passive seeker system for small munitions application

Disclosed is an apparatus for estimating the features of a radio frequency signal including a reference signal generator configured for generating a reference signal from a complex signal and one or more feature estimation units configured to generate one or more feature estimates from the reference signal and the complex signal. Techniques for creating reference signals from both signals spread by a scrambling code and FM signals are discussed.

Referenced-based radio frequency feature estimation

An apparatus and method for signal separation and SINR improvement is disclosed. In particular, disclosed is an iterative technique whereby a noisy signal, that may include signals from one or more distinct emitters, is first improved through an SINR improvement technique. Next, one signal from the noisy signal is identified and a reference signal substantially free of noise and interference is generated for this signal, and then this reference signal is subtracted from the noisy signal. This process is repeated until no other signals may be identified. In this way, the signal with the highest SINR may be identified first and then removed from the original signal. As such, the identified signal is no longer present as interference for the remaining signals, thus improving each of the remaining signals' respective SINRs.

Signal separation and SINR enhancement

An apparatus for identifying a specific emitter in the presence of noise and/or interference is disclosed. The apparatus includes a sensor configured to sense radio frequency signal data, the signal data containing noise and signal from at least one emitter, a reference estimation unit configured to estimate a reference signal relating to the signal transmitted by one emitter, a feature estimation unit configured to generate one or more estimates of one or more feature from the reference signal and the signal transmitted by that particular emitter, and an emitter identifier configured to identify the signal transmitted by that particular emitter as belonging to a specific device using one or more feature estimates. The emitter identifier identifies the signal transmitted by that particular emitter as belonging to a specific device using Gaussian Mixture Models and the Bayesian decision engine.

System for specific emitter identification

An apparatus for sensing and classifying radio communications is provided. The apparatus includes one or more sensor units configured to detect radio frequency signals, a signal classifier configured to classify the detected radio frequency signals into a classification, the classification including at least one known signal type and an unknown signal type, a clustering learning algorithm capable of finding clusters of common signals among the previously seen unknown signals. The system is then further configured to use these clusters to retrain the signal classifier to recognize these signals as a new signal type.

Cognitive networked electronic warfare

An apparatus for identifying a scrambling code used in the received CDMA-based signal. The apparatus includes a frame timing estimation unit configured to estimate a frame timing of the received CDMA-based signal, a searching unit configured to search for and select a scrambling code seed based on at least the estimated frame timing, and a seed evaluation unit configured to determine if the selected scrambling code seed is the correct seed used in the received CDMA-based signal. The searching unit is further configured to provide an identified scrambling code seed based on an indication from the seed evaluation unit that the selected scrambling code seed is the correct seed. The apparatus may also include a scrambling code generator configured to generate the scrambling code from the identified seed.

Identifying a CDMA scrambling code

An apparatus for identifying a specific emitter in the presence of noise and/or interference is disclosed. The apparatus includes a sensor configured to sense radio frequency signal data, the signal data containing noise and signal from at least one emitter, a reference estimation unit configured to estimate a reference signal relating to the signal transmitted by one emitter, a feature estimation unit configured to generate one or more estimates of one or more feature from the reference signal and the signal transmitted by that particular emitter, and an emitter identifier configured to identify the signal transmitted by that particular emitter as belonging to a specific device using one or more feature estimates. The emitter identifier identifies the signal transmitted by that particular emitter as belonging to a specific device using Gaussian Mixture Models and the Bayesian decision engine. The apparatus may also include an SINR enhancement unit configured to enhance the SINR of the data before the reference estimation unit estimates the reference signal.

Growing community of inventors

Cedar Rapids, IA, United States of America

Jason A Fuemmeler