DeepAI AI Chat
Log In Sign Up

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

01/04/2019
by   Graham V. Weinberg, et al.
0

Sliding window detectors are non-coherent decision processes, designed in an attempt to control the probability of false alarm, for application to radar target detection. In earlier low resolution radar systems it was possible to specify such detectors quite easily, due to the Gaussian nature of clutter returns, in an X-band maritime surveillance radar context. As radar resolution improved with corresponding developments in modern technology, it became difficult to construct sliding window detectors with the constant false alarm rate property. However, over the last eight years this situation has been rectified, due to improved understanding of the way in which such detectors should be constructed. This paper examines the Bayesian approach to the construction of such detectors. In particular, the design of sliding window detectors, with the constant false alarm rate property, with the capacity to manage interfering targets, will be outlined.

READ FULL TEXT

page 1

page 2

page 3

page 4

12/23/2018

A Note on the Bayesian Approach to Sliding Window Detector Development

Recently a Bayesian methodology has been introduced, enabling the constr...
01/01/2019

Approximation of the Cell Under Test in Sliding Window Detection Processes

Analysis of sliding window detection detection processes requires carefu...
01/11/2019

Multipulse Order Statistic Constant False Alarm Rate Detector in Pareto Background

In a recent study, the extension of sliding window detectors from the si...
01/02/2019

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

The development of sliding window detection processes, based upon a sing...
09/21/2021

The Theoretical Limit of Radar Target Detection

In the field of radar target detection, the false alarm and detection pr...
07/15/2021

A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance

As radar sensors are being miniaturized, there is a growing interest for...
02/06/2020

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...