Lockheed Martin Corporation

Thomas J Barnard

Thomas M Canavan

John H Goodemote

Donald Winfield

Dane E Reiner

Howard R Taylor

Manuel Francisco Fernandez

Jennifer L Pawelczyk

Casey D Dyer

Joseph E Nickerson

Dennis C Stimson

A sensor system includes a pressure sensor portion, and an accelerometer. Outputs from the sensor system are handled by a signal processing system that includes a first beamforming module for inputs from a pressure sensor, a second beamforming module for inputs from an accelerometer, and an adaptive beam interpolation module. A method for signal processing signals from both a pressure sensor and an accelerometer. An array of sensors transfers data wirelessly.

Transducer and system of arrangement for a panel array

This invention relates to the use of a sufficiently-sampled auxiliary array in combination with one or more under-sampled sub-arrays. The sufficiently-sampled auxiliary array is used to create a signal-free reference (SFR) beam that contains grating lobe interference. The SFR may be used to cancel the interfering grating lobe in an under-sampled main beam by coherently eliminating or subtracting the SFR from the main beam. Exemplary aspects of the invention thus support significant under population of the full aperture and avoid the problems and limitations of previous solution, with consequent savings in sensor hardware cost and weight.

Method and system for isolating and reducing grating lobe interference

A method of beam forming an array, by computer processing a cross covariance, of the reference sub array seismic signal data signal, by having an unknown shape comprising receiving acoustic signals, via the array, and computing the data and segmenting the array into an initial segment of a known shape and at least a second segment, and beam forming the initial segment to provide a beam formed output, and using the beam formed output to obtain weights, for the second segment of the array.

Subarray matching beamformer apparatus and method

A technique for suppressing interference with unknown phase shifts received by an array of sensor elements partitions the array into a plurality of subarrays. Each subarray is processed independently to suppress the interference. Next, the resulting data from each subarray are summed together. This summed data, which effectively represents data provided by the full array with interference suppressed, may be utilized to detect and/or localize a target of interest. Each subarray is processed independently of all other subarrays. No cross-subarray processing is required. This technique is applicable to linear arrays, multi-line arrays, planar arrays, cylindrical arrays, conformal arrays, and spherical arrays. Applicable sensors include acoustic sensors (e.g., sonar, ultrasonic), electromagnetic sensors (e.g. radar), and optical sensors (e.g., infrared, ultraviolet, visible light).

Data adaptive interference suppression

A system and process for localizing signals received on multiple co-linear arrays reduces the adverse effects on localization performance due to background noise. The system and process coherently combine all possible array cross-correlograms. The resulting correlogram is a function of two variables, one which corresponds to a fine bearing estimate and a second with maps into range.

System and method for localizing targets using multiple arrays

A system and process for maintaining correlated contacts (e.g., sonar/radar contacts) utilizes diagonal averaging. A covariance matrix is formed from signals received by an array of sensors. These sensors may be acoustic and/or electromagnetic sensors. The covariance matrix is replaced with Toeplitz matrix. The Toeplitz matrix is a Toeplitz matrix that most closely matches the covariance matrix in the least squares sense. The Toeplitz matrix is used to calculate weight vectors for the adaptively formed response signals.

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Liverpool, NY, United States of America

Thomas J Barnard