Data adaptive constant false alarm rate normalizer design for active sonar and radar
نویسندگان
چکیده
We present a method for estimating threshold values for signal detection and classification systems in which a prescribed value of false alarm probability is needed. The threshold values are determined directly from observed test statistic data without knowledge of the probability distribution of the data. Our method uses the concept of tolerance intervals from nonparametric statistics.
منابع مشابه
Adaptive Signal Detection in Auto-Regressive Interference with Gaussian Spectrum
A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived. The detector assumes that the noise is an Auto-Regressive (AR) process with Gaussian autocorrelation function which is a suitable model for ground clutter in most scenarios involving airborne radars. The detector estimates the unknown...
متن کاملAdaptive CFAR detection of multidimensional signals
Adaptive detection of multidimensional signals in the presence of interference with unknown covariance matrix is an expanding topic in a variety of scenarios ranging from radar/sonar to digital communication systems. In this paper we attack the problem of detecting a multidimensional radar signal, modeled as an unknown matrix, embedded in Gaussian noise with unknown covariance matrix, with the ...
متن کاملConstant False Alarm Rate Detectors in Intensive Noise Environment Conditions
A different technique of CFAR detectors procedure for moving target detection in noise environment conditions with a Poisson distributed flow and Raleigh amplitude distribution is proposed in this paper . The expressions of the detection and false alarm probability are derived for a highly fluctuating Swerling II target. A comparative analysis of the performance of different radar detectors str...
متن کاملAdaptive Detection of Range-Spread Targets in Gaussian Noise Using the Generalized Detector
In this paper, we address an adaptive detection of range-spread targets or targets embedded in Gaussian noise with unknown covariance matrix by the generalized detector (GD) based on the generalized approach to signal processing (GASP) in noise. We assume that cells or secondary data that are free of signal components are available. Those secondary data are supposed to process either the same c...
متن کاملHardware architecture for adaptive filtering based on energy-CFAR processor for radar target detection
A hardware architecture that implements an adaptive filter based on energy analysis of radar echoes to improve the detection of the Constant False Alarm Rate (CFAR) algorithm is presented. Signal processing based on energy analysis emphasizes the edge of the echoes improving the performance of the detection process. The energy filter coefficients and CFAR parameters are calculated adaptively by...
متن کامل