Detection is the first task in establishing a communication link, or tracking a target with a radar system. This is a decision-making problem, and it is performed through a hypothesis-testing procedure. Hypothesis testing is nothing but constant-false-alarm-rate (CFAR) detection. These issues are reviewed, and simple MATLAB (TM) codes are presented
In this paper we perform an experimental analysis for assessing the Constant False Alarm Rate (CFAR)...
In this paper the performance of a combined Constant False Alarm Rate (CFAR) Compressive Sensing (CS...
The constant false alarm rate (CFAR) is a detection algorithm that is generally used in radar or son...
This paper deals with the design and the analysis of constant false alarm rate (CFAR) detectors expl...
Each radar has the function of surveillance of certain areas of interest. In particular, the radar a...
Monte Carlo Methods are introduced and used to estimate false alarm proba-bilities. The estimation o...
Digital signal processing is essential to any modern radar and communication system. The motivation ...
Constant False Alarm Rate (CFAR) techniques provide an adaptive threshold to distinguish targets fro...
This paper considers the problem of constant false alarm rate (CFAR) detection of radar targets usin...
Paper presents basic information on the Constant False Alarm Rate (CFAR) algorithms and assessment o...
AbstractThe constant-false-alarm-rate (CFAR) detection algorithm is used for the detection of an opt...
In a typical radar system, the same hypothesis testing problem is periodically repeated to constantl...
This work presents a single-scan-processing approach to the problem of detecting and preclassifying ...
In this paper, adaptive CFAR tests are described which allow one to classify radar clutter into one ...
The goal of constant false alarm rate (CFAR) processing is to perform target detection in an environ...
In this paper we perform an experimental analysis for assessing the Constant False Alarm Rate (CFAR)...
In this paper the performance of a combined Constant False Alarm Rate (CFAR) Compressive Sensing (CS...
The constant false alarm rate (CFAR) is a detection algorithm that is generally used in radar or son...
This paper deals with the design and the analysis of constant false alarm rate (CFAR) detectors expl...
Each radar has the function of surveillance of certain areas of interest. In particular, the radar a...
Monte Carlo Methods are introduced and used to estimate false alarm proba-bilities. The estimation o...
Digital signal processing is essential to any modern radar and communication system. The motivation ...
Constant False Alarm Rate (CFAR) techniques provide an adaptive threshold to distinguish targets fro...
This paper considers the problem of constant false alarm rate (CFAR) detection of radar targets usin...
Paper presents basic information on the Constant False Alarm Rate (CFAR) algorithms and assessment o...
AbstractThe constant-false-alarm-rate (CFAR) detection algorithm is used for the detection of an opt...
In a typical radar system, the same hypothesis testing problem is periodically repeated to constantl...
This work presents a single-scan-processing approach to the problem of detecting and preclassifying ...
In this paper, adaptive CFAR tests are described which allow one to classify radar clutter into one ...
The goal of constant false alarm rate (CFAR) processing is to perform target detection in an environ...
In this paper we perform an experimental analysis for assessing the Constant False Alarm Rate (CFAR)...
In this paper the performance of a combined Constant False Alarm Rate (CFAR) Compressive Sensing (CS...
The constant false alarm rate (CFAR) is a detection algorithm that is generally used in radar or son...