Kalman Filtering in Radio Aperture Synthesis
{'Code': '03020500', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'AST', 'LongName': 'Division Of Astronomical Sciences'}}
{'SignBlockName': 'Wayne Van Citters', 'PO_EMAI': 'gvancitt@nsf.gov', 'PO_PHON': '7032920000'}
The first objective of this research is to improve radio astronomy              images of extended sources by Kalman filtering the atmospherically              induced phase fluctuations in the spatial frequency domain.                     Models for the atmospheric-phase noise for each antenna pair are                obtained with times series analysis.  A model for the radio source              is obtained from the CLEAN components by transforming them to the               spatial frequency domain, putting them in the same time-baseline                order as the data, and modeling these series.  Both models are                  placed in the Kalman filter and then the data are subsequently                  filtered.  The Kalman filter will discriminate between the wanted               and unwanted signals, thereby producing a less corrupted data set               which is ready for mapping.                                                                                                                                     The second objective is to reduce the noise in the images by                    segmenting the image into statistically stationary segments,                    modeling the signal and the noise in the segments, and Kalman                   filtering each segment.  New work in this area will be the                      incorporation of improved information; the signal and noise                     processes in the filter modes.  One example is the inclusion of                 colored noise.  This will reduce the background noise and will                  reduce the noise in the weak-signal portion of the astronomical                 object.
{'FirstName': 'John', 'LastName': 'Basart', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John P Basart', 'EmailAddress': 'jpbasart@iastate.edu', 'NSF_ID': '000392047', 'StartDate': '03/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Iowa State University', 'CityName': 'AMES', 'ZipCode': '500112103', 'PhoneNumber': '5152945225', 'StreetAddress': '1350 BEARDSHEAR HALL', 'StreetAddress2': '515 MORRILL ROAD', 'CountryName': 'United States', 'StateName': 'Iowa', 'StateCode': 'IA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IA04', 'ORG_UEI_NUM': 'DQDBM7FGJPC5', 'ORG_LGL_BUS_NAME': 'IOWA STATE UNIVERSITY OF SCIENCE AND TECHNOLOGY', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1218', 'Text': 'ADVANCED TECHNOLOGIES & INSTRM'}
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