Jon H. Sherman - Los Angeles CA, US John P. Kilkelly - San Pedro CA, US Helen L. Sun - Rancho Palos Verdes CA, US Ralph E. Hudson - Los Angeles CA, US
Assignee:
Raytheon Company - Waltham MA
International Classification:
G01S 13/90
US Classification:
342 58, 342 25 D, 342196
Abstract:
Provided is a non-statistical method for compressing and decompressing complex SAR data derived from reflected energy. The method includes selecting a first FFT to provide a target ratio of pixel spacing to resolution. A second FFT is then selected which is smaller than the first FFT. The data is zero-padded to fill the second FFT and transformed to provide at least one transfer frequency. This transfer frequency is then transferred to the at least one remote site. At the remote site the second FFT is inverted to restore the data from the received transfer frequency. The restored data is then zero-padded again to fill the first FFT. The first FFT is then used to transform the zero-padded restored data to provide a data set of points with the target ratio of pixel spacing to resolution.
Non-Statistical Method For Compressing And Decompressing Complex Sar Data
Jon H. Sherman - Los Angeles CA, US John P. Kilkelly - San Pedro CA, US Helen L. Sun - Rancho Palos Verdes CA, US Ralph E. Hudson - Los Angeles CA, US
Assignee:
Raytheon Company - Waltham MA
International Classification:
G01S 13/90
US Classification:
342 58, 342 25 D, 342196
Abstract:
Provided is a non-statistical method for compressing and decompressing complex SAR data derived from reflected energy. The method includes selecting a first FFT to provide a target ratio of pixel spacing to resolution. A second FFT is then selected which is smaller than the first FFT. The data is zero-padded to fill the second FFT and transformed to provide at least one transfer frequency. This transfer frequency is then transferred to the at least one remote site. At the remote site the second FFT is inverted to restore the data from the received transfer frequency. The restored data is then zero-padded again to fill the first FFT. The first FFT is then used to transform the zero-padded restored data to provide a data set of points with the target ratio of pixel spacing to resolution.
Method And System For Reducing Phase Error In A Phased Array Radar Beam Steering Controller
Ralph E. Hudson - Los Angeles CA Stanley O. Aks - Cerritos CA Peter P. Bogdanovic - Los Angeles CA David D. Lynch - Northridge CA
Assignee:
Hughes Aircraft Company - Los Angeles CA
International Classification:
G01S 740
US Classification:
342174
Abstract:
The method and system for reducing phase error of phased array radar beam steering controllers having digitally controlled phase shifters includes the monitoring of individual digitally controlled phase shifter elements, determining an additive phase correction to reduce the number of failed phase shifter elements, determining whether said additive phase correction is achievable by comparing the stuck bit state at each said failed changers element with said additive phase correction and adjusting the phase commands to the nearest values which can be achieved if the additive phase correction is unachievable.
Ralph E. Hudson - Los Angeles CA Yoji G. Niho - Rancho Palos Verdes CA
Assignee:
Hughes Aircraft Company - Los Angeles CA
International Classification:
G01S 1389
US Classification:
342 25
Abstract:
A technique is disclosed for encoding SAR image data to achieve data compression. In the image encoding stage, the SAR image is transformed into a list of high reflectivity radar discretes and a small array of frequency filters. In the target list, the location data and intensity levels above the local average background clutter are tabulated for a predetermined number of the highest intensity radar discretes. The array of frequency filters is divided into three zones; the inner, middle, and higher frequency zones relative to the d. c. filter. Only the inner and middle zones of filters are retained and the outer filters are discarded, thus acheiving the desired data reduction. The inner zone filters are quantized to a higher level of precision than the middle zone of filters. The saturation levels of the filters are determined adaptively. In the decoding stage, the original SAR image is reconstructed from the radar discrete list and the small array of frequency filters.
Automatic Subarea Selection For Image Registration
Robert T. Frankot - Van Nuys CA Ralph E. Hudson - Los Angeles CA
Assignee:
Hughes Aircraft Company - Los Angeles CA
International Classification:
G06K 932
US Classification:
382294
Abstract:
A method for automatically selecting subareas from reference image data such that registration accuracy is optimized between images. Optimal subarea selection reduces the on-line computation and reference data storage required for multi-subarea correlation or, alteratively, improves its effectiveness. Example results for a synthetic aperture radar (SAR) image are described. The results indicate that the automatic subarea selection method of the present invention reduces on-line computation by a factor of 2 to 3 (relative to random subarea selection) without degradation in accuracy. The present selection method minimizes the predicted total mean squared registration error (MSE). The total MSE is predicted in terms of the position and predicted measurement covariance (derived from local image statistics) of each candidate subarea. Combinatorial optimization procedures select a predetermined number of subareas to minimize total MSE. The present method jointly considers the quality and position for each local measurement, optimally handles any order polynomial model, and includes bounds on the uncertainty of registration parameters.
Ralph E. Hudson - Los Angeles CA Howard S. Nussbaum - Los Angeles CA Ernest Chen - San Pedro CA
Assignee:
Hughes Electronics - Los Angeles CA
International Classification:
G01S 1390
US Classification:
342 25
Abstract:
An inverse synthetic array radar (ISAR) system provides for improving the resolution of an ISAR image by providing compensation for non-uniformity in the magnitude of the angular velocity of a rotating target as the target rotates to generate the synthetic-aperture-angle, and enables use of a larger synthetic-aperture angle, without compromising ISAR image quality with respect to smear. The preferred embodiment records sampled data signals to generate a collected-data matrix indexed in each of two dimensions on the basis of uniform increments of time, and performs data processing to produce a translated data matrix indexed in a dimension on the basis of uniform increments of synthetic-aperture angle. Further processing of the translated data matrix produces data in a buffer for controlling a display device for the ISAR image.
Gene W. Zeoli - Palos Verdes Estates CA Ralph E. Hudson - Los Angeles CA Robert H. Latter - Manhattan Beach CA Robert T. Frankot - Van Nuys CA
Assignee:
Hughes Aircraft Company - Los Angeles CA
International Classification:
G01S 1390
US Classification:
342 25
Abstract:
A terrain height radar system and processing method comprising a high resolution synthetic aperture radar (SAR) mounted on an air vehicle and a SAR signal processor containing a signal processing algorithm or method for computing terrain height and radar backscatter power. The system contains motion sensing and navigation functions that also provide data to the signal processor to provide motion compensation. Signal processing algorithms in the method compensate for planar motion of the air vehicle for variations of terrain height in the field of view. The algorithms also compensate for nonplanar motion of the radar, and for scatterers in or very near to a reference plane in the field of view. The algorithms exploit defocusing due to displacement from the reference plane to estimate the terrain height above the reference plane. The algorithm is computationally efficient because the bulk of the radar signal processing is common to both the SAR function and the terrain height estimation function.
Multi-Scale Adaptive Filter For Interferometric Sar Data
Robert T. Frankot - Van Nuys CA Ralph E. Hudson - Los Angeles CA George H. Senge - Los Angeles CA
Assignee:
Hughes Aircraft Company - Los Angeles CA
International Classification:
G01S 1390
US Classification:
342 25
Abstract:
Apparatus including a multi-scale adaptive filter for smoothing interferometric SAR (IFSAR) data in areas of low signal-to-noise ratio (SNR) and/or coherence while preserving resolution in areas of high SNR/coherence. The multi-scale adaptive filter uses simple combinations of multiple linear filters applied to a complex interferogram. The multi-scale adaptive filter is computationally efficient and lends itself to parallel implementation. A pyramid architecture comprising a plurality of cascaded stages is employed which reduces the computational load and memory required for implementation of the processing algorithm. The multi-scale adaptive filter implements a processing algorithm that may be applied to standard IFSAR data. Its input is a complex interferogram (the conjugate product of two complex images) and its output is a filtered interferogram (A) which is passed to an information extraction processor, that extracts a terrain elevation map, for example. The adaptive filter incorporates linear filters at two or more scales (i. e.
Name / Title
Company / Classification
Phones & Addresses
Ralph Hudson President
RALPH HUDSON, INC TV and Movie Set Displays
1514 Flower St, Glendale, CA 91201 818 265-2055
Ralph Hudson Incorporator
Fountain Of Faith Missionary Baptist Church Church
Hi! I'm an engineer by trade, with four children whose names all begin with 'A': the A team. We live in Somerset and have a special interest in new initiatives for sustainable living.