# Bayesian Analysis of Target Detection with Enhanced Receiver Operating   Characteristic

**Authors:** Philip Cassady

arXiv: 1903.08165 · 2019-03-21

## TL;DR

This paper introduces a Bayesian framework for radar target detection that enhances the traditional ROC curve with a predictive value, aiding operators in threshold decisions.

## Contribution

It develops a Bayesian approach incorporating predictive value into ROC analysis for improved radar target detection decision-making.

## Key findings

- Enhanced ROC curve with predictive value for better decision support
- Bayesian method accurately predicts target presence or absence
- Provides a more informed threshold selection process

## Abstract

In the present paper we develop a Bayesian analysis of radar target detection that uses the parameters of conventional radar analysis to provide a valid prediction of target presence or absence when received signals cross or fail to cross chosen threshold values. A Positive Predictive Value parameter is added to the normal Receiver Operating Characteristic to provide information that allows the radar operator to make an informed decision in the choice of threshold.

---
Source: https://tomesphere.com/paper/1903.08165