DeepAI AI Chat
Log In Sign Up

Multipulse Order Statistic Constant False Alarm Rate Detector in Pareto Background

by   Graham V. Weinberg, et al.

In a recent study, the extension of sliding window detectors from the single to multipulse case has been considered. This short note continues the analysis of such detectors, and specifies an order statistic variation. The probability of false alarm is derived in a useful compact mathematical expression.


page 1

page 2

page 3


Extension of the Geometric Mean Constant False Alarm Rate Detector to Multiple Pulses

The development of sliding window detection processes, based upon a sing...

GLRT based CFAR Pareto-Target Aircraft Detection in Two-Parameter Pareto Distributed Clutter

In the last decade, after Pareto distribution has been validated for X-b...

A Note on the Bayesian Approach to Sliding Window Detector Development

Recently a Bayesian methodology has been introduced, enabling the constr...

Compensating for Interference in Sliding Window Detection Processes using a Bayesian Paradigm

Sliding window detectors are non-coherent decision processes, designed i...

Note on the robustification of the Student t-test statistic using the median and the median absolute deviation

In this note, we propose a robustified analogue of the conventional Stud...

Learning to Detect with Constant False Alarm Rate

We consider the use of machine learning for hypothesis testing with an e...

CFARnet: deep learning for target detection with constant false alarm rate

We consider the problem of learning detectors with a Constant False Alar...