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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 21 to 30 of 50 (0.081 seconds)Spelling suggestions: "subject:"radar detection"" "subject:"nadar detection""
| 21 |
The detection of objects in three dimensions, with applications to ground probing radarRichardson, P. January 1990 (has links)
No description available.
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| 22 |
Ground probing radar signal processing techniquesSexton, G. January 1985 (has links)
No description available.
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| 23 |
Real-time weather radar correlation using a vertically pointing radarLane, Andrew January 1997 (has links)
No description available.
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| 24 |
Analysis and design of digital recursive moving target indication filters for microwave radarsAl-Ahmad, H. A. M. January 1984 (has links)
No description available.
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| 25 |
Tracking algorithms with variable update time for phased array radarMunu, Mbalu January 1994 (has links)
No description available.
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| 26 |
Advances in automatic vehicle classificationLear, D. W. January 1987 (has links)
No description available.
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| 27 |
Use of ground probing radar on archaeological sitesMeats, Christopher Edward January 1995 (has links)
No description available.
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| 28 |
Electromagnetic characterization of a wideband borehole radar imaging systemClaassen, Daniel Marthinus January 1995 (has links)
No description available.
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| 29 |
Direct frequency synthesis using combined digital and analogue techniquesJones, William John January 1988 (has links)
No description available.
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| 30 |
Modern spectral analysis in HF radar remote sensingVizinho, A. January 1998 (has links)
High-Frequency (HF) radar systems are currently used to collect wave data. By applying spectral analysis methods, such as the Fast Fourier Transform (FFT) method, to the radar backscatter from the ocean surface, the so-called Doppler spectrum is calculated, and from this the directional wave spectrum and wave measurements are obtained. Because of the random nature of the ocean surface, spectral measurements are subject to random variability. In order to reduce variability, and hence to obtain relatively precise estimates, each spectrum is usually calculated by averaging a number of FFT estimates. Naturally, this method requires long data series, and problems may arise. In rapidly varying sea conditions, for example, successive FFT estimates may be quite inconsistent with each other (in non-stationary conditions), and then the spectrum estimate obtained by averaging is not only difficult to interpret but it may also be distorted. It is known that the more recent spectral analysis methods such as methods based on autoregressive (AR) and autoregressive-moving average (ARMA) stochastic models can provide stable estimates from short data sets. Thus these methods are potentially good alternatives to the FFT, as they avoid problems inherent to the use of large data sets. The aim of this thesis is to investigate how some of the modem spectral analysis methods may be used to obtain reliable spectral estimates from small data sets. Unlike the FFT method, the AR- and ARMA-based methods presuppose specific parametric forms for the spectral function, and therefore consist in estimating certain parameters from the data (as opposed to estimating the function itself). The modified covariance method and Burg's method are among several methods of estimating the parameters of the spectral function.
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