Detection in a Narrowband-Burst Environment
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'george hazelrigg', 'PO_EMAI': None, 'PO_PHON': None}
This research seeks to develop the theory and practice of an                    integrated signal detection system for detection in a narrowband burst          environment such as is encountered in sonar, radar, data                        communications, and other similar environments.  Optimal solutions to           signal detection problems involve complete statistical descriptions of          the ambient noise.  However, many important environments are non-               stationary, the noise consisting of a low-power quiescent-mode random           process punctuated occasionally by higher-power bursts.  In some                environments, these bursts are strongly narrowband, a property that             must be considered.  This research will be in three parts:                      characterization and modelling of bursts, the development of                    processing algorithms, and investigation of the properties of the               algorithms using both idealized simulation and actual data.
{'FirstName': 'Peter', 'LastName': 'Willett', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter K Willett', 'EmailAddress': 'willett@engr.uconn.edu', 'NSF_ID': '000190706', 'StartDate': '04/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Connecticut', 'CityName': 'STORRS', 'ZipCode': '062699018', 'PhoneNumber': '8604863622', 'StreetAddress': '438 WHITNEY RD EXTENSION UNIT 11', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CT02', 'ORG_UEI_NUM': 'WNTPS995QBM7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CONNECTICUT', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '145900', 'Text': 'COMMUNICATIONS SYSTEMS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8719031.xml'}