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Displaying Results 1 - 11 of 11
• Analysis of radar micro-doppler signatures from rigid targets in space based on inertial parameters

Publication Year: 2011, Page(s):93 - 102
Cited by:  Papers (11)
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Micro-Doppler features have intrinsic relations with the physical properties of objects, which provide great potential for use in the target discrimination. A model and theoretical analysis of micro-Doppler based on inertial parameters for aerospace rigid targets are presented. According to the attitude kinematics in space, mathematical formulas of the micro-Doppler model based on inertial paramet... View full abstract»

• Pedestal height for sea oil slick observation

Publication Year: 2011, Page(s):103 - 110
Cited by:  Papers (20)
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In this study fully polarimetric synthetic aperture radar (SAR) measurements are employed for sea oil slick observation. The co-polarised signature is read in terms of sea surface scattering mechanism with and without surface slicks and it is shown to be sensitive to the presence of sea oil slicks. A model, which relates the pedestal of the polarisation signature to the presence of surface slicks,... View full abstract»

• Wind turbine clutter observations and theoretical validation for meteorological radar applications

Publication Year: 2011, Page(s):111 - 117
Cited by:  Papers (12)
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The use of wind energy is gaining importance because of its many advantages. Nations worldwide are promoting the installation of wind farms to produce electricity in an attempt to tackle climate change and increasing oil costs. However, wind turbines can generate undesired signals that disturb the performance of radar systems. In particular, this is an issue for weather radar networks that see win... View full abstract»

• Active sample-selecting and manifold learning-based relevance feedback method for synthetic aperture radar image retrieval

Publication Year: 2011, Page(s):118 - 127
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Content-based image retrieval (CBIR) provides an effective way to address the increasing need for intelligent data access to synthetic aperture radar (SAR) image repositories. In CBIR, a critical component is relevance feedback (RF), which is used to bridge the semantic gap. This study proposes a new RF method with active sample-selecting and manifold learning for CBIR of SAR images. In this met... View full abstract»

• Assessment and analysis of radio frequency compatibility among several global navigation satellite systems

Publication Year: 2011, Page(s):128 - 136
Cited by:  Papers (1)
| | PDF (799 KB)

The increasing number of new global navigation satellite systems (GNSS) signals leads to more interference effects on existing and upcoming navigation signals in the same frequency band. GNSS radio frequency compatibility has become a matter of great concern for the system providers and user communities. This study describes a comprehensive methodology for radio frequency compatibility assessment,... View full abstract»

• Minimum mean square error estimator for mobile location using time-difference-of-arrival measurements

Publication Year: 2011, Page(s):137 - 143
Cited by:  Papers (3)
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Localisation of mobile station (MS) has now gained considerable attention. It is not possible to further reduce the root mean square error using the existing location methods without additional information. This study proposes a method to improve the accuracy of mobile location using statistical characteristics of MS position as prior information. In this technique, the Chan-Ho method is extended ... View full abstract»

• Ship detection by different data selection templates and multilayer perceptrons from incoherent maritime radar data

Publication Year: 2011, Page(s):144 - 154
Cited by:  Papers (2)
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This study presents a novel way for detecting ships in sea clutter. For this purpose, the information contained in the Radar images obtained by an incoherent X-band maritime Radar is used. The ship detection is solved by feedforward artificial neural networks, such as the multilayer perceptrons (MLPs). In a first approach, the MLP processes the information extracted from the Radar images using the... View full abstract»

• Multiple-input multiple-output radar aperture optimisation

Publication Year: 2011, Page(s):155 - 162
Cited by:  Papers (14)
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The authors describe a process for designing low-cost, light-weight antenna apertures for use in multiple-input multiple-output (MIMO) radars. In a MIMO radar system, two or more transmitters emit independent waveforms, with the resulting reflections received by an array of receivers. Recently, MIMO radar has become a subject of great interest. In part, this interest is due to the potential for MI... View full abstract»

• Analysis of polarimetric techniques using high-resolution polarimetry data in an automatic target recognition context

Publication Year: 2011, Page(s):163 - 171
Cited by:  Papers (2)
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In recent years, large numbers of radar images are collected but there is neither time nor enough manpower to go through each collected image. Researchers in the automatic target recognition (ATR) field have developed automated algorithms and tools to analyse each image and obtain higher recognition rate and fewer false alarms but there is still a need for improvement in these aspects. In this stu... View full abstract»

• Theoretical and experimental study of a signal feature extraction algorithm for measuring propeller acceleration in a port surveillance system

Publication Year: 2011, Page(s):172 - 181
Cited by:  Papers (4)
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Classification and identification of moving vessels by extracting particular features of the underwater radiated noise generated by the propellers for use within a port area are an attractive topic for a port underwater surveillance system. The authors first present a chirp-periodic signal model for the envelope of accelerating propeller noise, then derive the maximum-likelihood estimator (MLE) fo... View full abstract»

• Sparse representation-based synthetic aperture radar imaging

Publication Year: 2011, Page(s):182 - 193
Cited by:  Papers (44)
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There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying scene. Based on the observation that typical underlying scenes usually exhibit sparsity in terms of such features, this paper presents an image for... View full abstract»

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