Global ETD Search

11	Characterization of electromagnetic backscatter from moving tracked vehicles / Gross, Francis B. January 1982 (has links) No description available. Mathematics Backscattering Electromagnetism Tracking radar
12	Multisensor data fusion Filippidis, Arthur. January 1993 (has links) (PDF) Bibliography: leaves 149-152. Multisensor data fusion Tracking radar Data processing
13	Time blanking for GBT data with RADAR RFI / Dong, Weizhen, January 2004 (has links) (PDF) Thesis (M.S.)--Brigham Young University. Dept. of Electrical and Computer Engineering, 2004. / Includes bibliographical references (p. 77-79).
14	Topics in multisensor maneuvering target tracking Jeong, Soonho, Tugnait, Jitendra K. January 2005 (has links) (PDF) Dissertation (Ph.D.)--Auburn University, 2005. / Abstract. Vita. Includes bibliographic references.
15	Measurement correlation in a target tracking system using range and bearing observations / Pistorius, Morné. January 2006 (has links) Thesis (MSc)--University of Stellenbosch, 2006. / Bibliography. Also available via the Internet.
16	Narrowband passive systems theory with applications to positioning and navigation. Moura, José M. F., 1946- January 1975 (has links) Thesis. 1975. Sc.D. cn--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Vita. / Bibliography: leaves 368-372. / Sc.D.cn Estimation theory Sonar Tracking radar
17	Extraction of Small Boat Harmonic Signatures From Passive Sonar Ogden, George Lloyd 01 January 2010 (has links) This thesis investigates the detection and classification of small boats using a passive sonar system. Noise radiated from a small boats consists of broadband noise and harmonically related tones that correspond to parameters in the boats engine and propeller. A novel signal processing method for detection and discrimination of noise radiated from small boats has been developed. There are two main components to the algorithm. The first component detects the presence of small boats by the harmonic tonals radiated from the boat propeller and engine. The second component was designed to extract the a signature from passive sonar data. The Harmonic Extraction and Analysis Tool (HEAT) was designed to estimate the fundamental frequency of the harmonic tones, track the fundamental frequency using a Kalman filter, and automatically extract the amplitudes of the harmonic tonals to generate a harmonic signature for the boat. The algorithm is shown to accurately extract theses signatures, and results show that the signatures are unique enough that the same boat passing by the hydrophone multiple times can be recognized. Tracking radar -- Mathematics Kalman filtering
18	Narrow-band passive systems theory with applications to positioning and navigation January 1976 (has links) José anuel Fonseca de Moura. / Prepared under Contract no. DAAB07-75-C-1346, Joint Services Electronics Program. Originally presented as the author's thesis, (Sc.D.), M.I.T. Dept. of Electrical Engineering and Computer Science, 1975. / Bibliography: p.197-199. TK7855.M41 R43 no.490 Tracking radar Sonar Estimation theory
19	A low-complexity radar for human tracking Lin, Adrian. January 1900 (has links) (PDF) Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.
20	Detection and tracking of stealthy targets using particle filters a thesis / Losie, Philip, Saghri, John A. January 1900 (has links) Thesis (M.S.)--California Polytechnic State University, 2009. / Mode of access: Internet. Title from PDF title page; viewed on Jan. 19, 2010. Major professor: John Saghri, Associate Professor. "Presented to the faculty of California Polytechnic State University, San Luis Obispo." "In partial fulfillment of the requirements for the degree [of] Master of Science in Electrical Engineering." "December 2009." Includes bibliographical references (p. 67-68).

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