BOOTSTRAP BASED SEQUENTIAL DETECTION IN NON-GAUSSIAN CORRELATED CLUTTER
نویسندگان
چکیده
منابع مشابه
Multistatic adaptive CFAR detection in non-Gaussian clutter
This work addresses the problem of target detection for multistatic radars. We propose an algorithm that is able to keep constant the false alarm rate, when the disturbance samples associated with each receiver-transmitter pair are distributed according to a compound Gaussian model. The performance of the proposed detection algorithm are analysed to assess the impact of clutter diversity on det...
متن کاملRadar Detection in Compound-gaussian Clutter
In this paper, we study the adaptive version of the asymptotical Bayesian Optimum Radar Detector (BORD) built with a covariance matrix estimate. We investigate its properties, when the noise is modelled as a non-Gaussian complex process, such as Spherically Invariant Random Process (SIRP). We derive, for appropriate covariance matrix estimates, the analytical expression of the relationship betw...
متن کاملAdaptive Detection in Compound-gaussian Clutter with Inverse Gaussian Texture
This paper mainly deals with the problem of target detection in the presence of Compound-Gaussian (CG) clutter with the Inverse Gaussian (IG) texture and the unknown Power Spectral Density (PSD). The traditional CG distributions, in particular the K distribution and the complex multivariate t distribution, are widely used for modeling the real clutter data from the High-Resolution (HR) radars. ...
متن کاملRandom signal detection in correlated non-Gaussian noise
Le problème de la détection d’un signal aléatoire noyé dans un bruit additif non gaussien modélisé par un processus sphériquement invariant est adressé. Une structure asymptotiquement optimale pour la détection d’un signal gaussien est synthétisée. Les performances de cette structure de détection sont obtenues par des simulations de Monte Carlo. De plus, des comparaisons sont effectuées avec le...
متن کاملResolved target detection in clutter using correlated, dual-band imagery
This paper develops a log-likelihood ratio test statistic for resolved target detection in dual-band imagery because the previous work indicates that most of the processing gains come from processing just two bands. Simple, closed-form equations for the closed-form probabilities of false alarm and detection are given. A computer simulation validates the theory. A constant false alarm rate versi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Progress In Electromagnetics Research C
سال: 2018
ISSN: 1937-8718
DOI: 10.2528/pierc17111608