USA As Represented by Secretary of the Navy

Other

Gregory Knowles Fleizach

Barry R Hunt

Ralph W Hunt

Mark William Owen

Gary Lau

Christopher Craig Pelham

Kevin Donald Casey

Heidi L Buck

Michael P Civerolo

Nicholas T Johnson

Michael G Anderson

Matthew Joseph Nicholson

Christopher L Lichtenberg

Brian T Williams

Alan Fronk

Carmen Carrano

Kristofor B Gibson

Matthew Fong

Peter C Grossnickle

Brian Matthew Sperlongano

Erin L Daly

Warran Ho Can

Everett W Sappenfield

Micaela M Wiseman

Daniel Avila

Michael Aaron Slutsky

Mohamed Chergui

An RF pulse correlator comprising a track database, an antenna, a receiver, and a processor. The track database is configured to store established tracks of RF emissions. The antenna and receiver are configured to receive RF pulses. The tracker is configured to generate improved geolocation data for every received RF pulse based on kinematics of the received RF pulses. The processor is communicatively coupled to the database, the receiver, and the tracker. The processor is configured to associate each received RF pulse with an existing track in the track database or to create a new track.

Radio frequency signal receiver/identifier leveraging unused pulses

An apparatus for passive coherent location includes a forecaster, an evaluator, a receiver, and a correlator. The forecaster generates a prediction of a radio-frequency signal transmitted from an antenna of a broadcasting service. The evaluator generates an effectiveness metric from the prediction of the radio-frequency signal. The receiver receives the radio-frequency signal that an object reflects from the antenna to the receiver. The correlator determines, from the radio-frequency signal reflected from the object as received at the receiver, an ambiguity function having a maximum at a temporal offset and a Doppler shift. The temporal offset and the Doppler shift at the maximum partially determine at least a position of the object. The apparatus optionally includes a selector for tuning the receiver to the radio-frequency signal in response to the effectiveness metric.

Passive coherent location with a prediction of a broadcast signal

An apparatus and method identify emitters. The apparatus includes a receiver, a parameter estimator, a database, and a correlator. The receiver receives an electromagnetic signal from an emitter and measures actual values of observed parameters of the electromagnetic signal. The parameter estimator surmises surmised values of unobserved parameters from the actual values of the observed parameters. The actual values of the observed parameters and the surmised values of the unobserved parameters characterize the emitter. The database stores one or more entries for each emitter. Each entry specifies an identifier of an emitter and exemplary values of the observed and unobserved parameters. The correlator matches the actual values of the observed parameters and the surmised values of the unobserved parameters with the exemplary values of one of the entries of the emitter from which the receiver receives the electromagnetic signal. The correlator outputs the identifier from this entry in the database.

Emitter identification through unobserved parameters

Method and system for improved contrast enhancement. The method includes receiving, from at least one imaging system, first and second component chiral images, the first component chiral image being captured by a first filter that is polarized in a first direction, the second component chiral image being captured by a second filter that is polarized in a second direction, the second direction being substantially orthogonal to the first direction. The method also includes pre-enhancing, by a processor, one or both of said first component chiral image and said second component chiral image. Then the processor weights and sums at least a portion of the first and second component chiral images. Weighting and summing may be repeated until an optimal weight is reached. A contrast enhanced image may be generated after the optimal weight is reached.

Weighted summing of component chiral images for improved contrast enhancement

Imposing a priori knowledge to estimate turbulence. The method includes receiving, at a memory, an original input image from an imaging instrument having an imaging wavelength and an optical aperture; and receiving, via a user input device and a graphical user interface, input of two or more points configured to substantially represent at least one feature. A processor estimates an atmospheric correlation length based on the received input of the two or more points, the imaging wavelength, and a size of the optical aperture. The processor mitigates turbulence in the original input image; and calculates a strength of the at least one feature based on the received input of the two or more points; until the atmospheric correlation length is optimal. If the atmospheric correlation length is not optimal, repeating the mitigation and calculation steps. The method also includes generating a turbulence-mitigated image based on the optimal atmospheric correlation length.

Imposing a priori knowledge to estimate turbulence

A shadow brightening method includes receiving, at a memory device, an original input image, a brightening level, and a threshold pixel intensity. If a pixel intensity is greater than the threshold, then the pixel is considered bright. Otherwise, the pixel is shadowed. The method includes calculating a gamma transformation for each pixel. If the pixel intensity is less than or equal to the threshold, then a gamma transformation equal to the received brightening level is applied. If the pixel intensity is greater than the threshold, then the gamma transformation is scaled to decrease with intensity. For each shadowed pixel, the method includes computing a minimum value. It also includes determining the brightening level to be applied, thus creating a gamma map. The method also includes applying the determined brightening level to the shadowed pixels and outputting a shadow-brightened output image.

Shadow brightening image enhancement

A method for mitigating turbulence in an image. A set of initial turbulence parameters is chosen. A fast de-turbulence algorithm is applied using each initial turbulence parameter to an original image, resulting in an enhanced image. The sharpness of each enhanced image is measured. The sharpness is recorded along with the corresponding initial turbulence parameter in a sharpness curve. The knee of the sharpness curve is calculated. An estimated turbulence parameter ris determined according to the knee. A de-turbulence algorithm is applied to the original image using r.

Method for estimating turbulence using turbulence parameter as a focus parameter

A memory device receives an original input image having at least one horizontal reticle or at least one vertical reticle. The memory device also receives a horizontal reticle mask image for horizontal reticles and/or a vertical reticle mask image for vertical reticles. A processor inpaints three regions: (1) vertical reticles with a horizontal filter, (2) horizontal reticles with a vertical filter, and (3) an intersection of the horizontal and vertical reticles with a two dimensional filter. A single inpainted image is produced. The processor determines whether a maximum change in any one of the first inpainted region, the second inpainted region or the third inpainted region equals or exceeds a predetermined threshold, and if so, repeating the inpainting steps. Once the maximum change in pixel intensity is less than the predetermined threshold the processing stops.

Fast and effective image inpainting for reticle removal

A method of providing accurate position, navigation, and timing information comprising the steps of providing at least four transceiver devices, providing an auxiliary GPS device, and providing a receiver GPS device. Each transceiver devices receives a plurality of GPS signals from a plurality of GPS satellites, and calculates a transceiver position and transceiver velocity vector. The transceiver position, transceiver velocity vector, and GPS signal are repackaged at each transceiver into a first spread signal structure, which is transmitted from each transceiver as a first GPS-like signal. The GPS-like signal is received at an auxiliary GPS device, which generates a simulated GPS signal. This simulated GPS signal is then output and received by a simulated GPS device.

Auxiliary global positioning system

A method and system for bidirectional edge highlighting. A memory receives an original input image. A processor calculates edge intensity for each edge pixel in the original input image. The processor also identifies strong edges and attenuates said strong edges. The processor can further determine whether the attenuated strong edges should be bright or dark based on the intensity of the pixel in the original image. The processor applies bidirectional edge highlighting to the image based on the intensity of the pixel in the original image. The degree of darkness or brightness of the highlighting is based on the calculated edge intensity after strong edge attenuation.

Bidirectional edge highlighting with strong edge attenuation

A device for detecting frequency modulated continuous wave radar includes an antenna connected to a bandpass filter. The antenna is configured to receive frequency modulated continuous wave (FMCW) pulses within a predetermined frequency range. A frequency mixer is connected to the bandpass filter and a synthesizer and is configured to mix a signal from the synthesizer with an output of the bandpass filter to produce basebanded data. A high-pass filter is configured to isolate short pulses pertaining to the basebanded data, and a low-pass filter is configured to isolate long pulses pertaining to the basebanded data. A microprocessor is configured to set thresholds for comparison with the outputs of the high-pass filter and the low-pass filter.

Frequency modulated continuous wave radar detector

A transmitter includes: a data providing component that provides data to be transmitted; a transforming component that generates transformed data based on the data to be transmitted; and a transmitting component that transmits the transformed data. The transforming component includes a modulator, a code generator and a data structure having stored therein a first mathematical function. The first mathematical function includes a primary first function term. The primary first function term includes a first parameter within a predetermined first delineated boundary of parameters. The code generator generates coded data so as to form an error-detecting code from the data to be transmitted. The modulator modulates the coded data with the primary first function term.

Transmission security method using bounded arbitrary frequency modulation

A system and method for haze removal. The method comprises the steps of receiving, at a memory, an input image having pixels. The method further comprises converting, by a processor, each pixel in each channel of the input image to floating-point values in the range of zero to one [0,1], and brightness-correcting, by the processor, the input image to prevent the de-hazed output image from becoming overly dark. The method also includes estimating, by the processor, the airlight for the brightness-corrected image, calculating a transmission map for each color or intensity channel of the image, and refining the transmission map for each said color or intensity. A reduced-haze image is thereby provided.

Single image haze removal

Methods for characterizing radar can include the steps of receiving a plurality of radar emissions, and determining a plurality of Pulse Repetition Intervals (PRIs) corresponding to the emissions. A plurality of clocks Xcan be calculated using the PRIs. A clock range and a clock interval can be defined for the plurality of calculated clocks Xand a clock X can be estimated, but only for the clocks Xthat are within the defined clock range. Countdowns Ccan be determined using the calculated clock X, and a mode M and crystal b can be calculated based on C. Clock X, countdowns C, mode M and crystal b, when considered together can accurately characterize a specific radar emission (and radar the emission came from). The systems and methods can be accomplished using emissions that are being received in real time using a receiver and emissions data from a database simultaneously.

Systems and methods for radar characterization and model formation

A method and system for automatically adjusting an iris opening in an imaging system. The method includes an iterative process that continues to adjust the camera's iris opening until an algorithm stopping condition is met. More particularly, a processor determines a brightness for the image at the current aperture setting. The processor classifies the image according to one of at least two brightness regime classifications. Based on the classifying step, the processor selects a pre-set optimal brightness parameter. The processor compares the brightness value of the image to the pre-set optimal value. The camera's iris opening is automatically adjusted based on a formula that takes into account, the current f-stop setting, the current brightness value, and the optimal brightness value. The iterative process continues until an algorithm stopping condition is met.

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San Diego, CA, United States of America

Gregory Knowles Fleizach