The term clutter is usually adopted for pointing out unwanted echoes in radar systems. Such echoes are typically returned from ground, sea, rain, animals/insects, chaff and atmospheric turbulences, and can cause serious performance issues with radar systems. Data analysis of clutter echoes is therefore one of the most important tasks in radar signal analysis and system design, especially in case of target tracking or target classification. The paper is addressed for understanding the difficulties in modelling the clutter when the range of interest changes. Obtained results have shown that it is impossible to have a global statistical model for the clutter, depending on the operating geometry of the system.JRC.G.3-Maritime affair
One of the key requirements of a radar system is to detect targets against the background interferen...
The performance of radar detection and imaging systems strongly depends on the characteristics of ra...
By using multimodal remote-sensing images and digital terrain data of the environment, this study pr...
Knowledge of radar clutter is essential to determine the radar range or the detectability of manmade...
Abstract: The state of development of the surface clutter prediction model DORTE is presented. This ...
High-amplitude clutter signals may be observed during radar operation due to environmental objects h...
In this paper the land clutter literature is briefly discussed and a need for a new class of clutter...
Standard radar clutter reflectivity models such as the GIT sea clutter model (Ewell G.W. et al., 197...
This paper presents a robust algorithm for clutter modelling based on the radar equation, radar cha...
Standard radar clutter reflectivity models such as the GIT sea clutter model [1,2] and the Billingsl...
Remote Sensing is the science and art of obtaining information about an object, area, or phenomenon ...
Over the past few years, numbers of research have been carried out to investigate the clutter charac...
This paper reviews the geosynchronous synthetic aperture radar (GeoSAR) literature and highlights a ...
Abstract: Good knowledge of clutter statistical characteristics is required to design high-performan...
Land clutter is statistical by nature, and its values vary in many different dimensions. This report...
One of the key requirements of a radar system is to detect targets against the background interferen...
The performance of radar detection and imaging systems strongly depends on the characteristics of ra...
By using multimodal remote-sensing images and digital terrain data of the environment, this study pr...
Knowledge of radar clutter is essential to determine the radar range or the detectability of manmade...
Abstract: The state of development of the surface clutter prediction model DORTE is presented. This ...
High-amplitude clutter signals may be observed during radar operation due to environmental objects h...
In this paper the land clutter literature is briefly discussed and a need for a new class of clutter...
Standard radar clutter reflectivity models such as the GIT sea clutter model (Ewell G.W. et al., 197...
This paper presents a robust algorithm for clutter modelling based on the radar equation, radar cha...
Standard radar clutter reflectivity models such as the GIT sea clutter model [1,2] and the Billingsl...
Remote Sensing is the science and art of obtaining information about an object, area, or phenomenon ...
Over the past few years, numbers of research have been carried out to investigate the clutter charac...
This paper reviews the geosynchronous synthetic aperture radar (GeoSAR) literature and highlights a ...
Abstract: Good knowledge of clutter statistical characteristics is required to design high-performan...
Land clutter is statistical by nature, and its values vary in many different dimensions. This report...
One of the key requirements of a radar system is to detect targets against the background interferen...
The performance of radar detection and imaging systems strongly depends on the characteristics of ra...
By using multimodal remote-sensing images and digital terrain data of the environment, this study pr...