Open AccessAnalysis Study of Radar Probability of Detection for Fluctuating and Non-fluctuating Targets
Author(s) -
Aounallah Naceur,
Ali Khalfa
Publication year - 2017
Publication title -
algerian journal of signals and systems
Language(s) - English
Resource type - Journals
eISSN - 2676-1548
pISSN - 2543-3792
DOI - 10.51485/ajss.v2i1.28
Subject(s) - statistical power , false alarm , radar , computer science , detection theory , radar detection , statistical hypothesis testing , constant false alarm rate , statistics , algorithm , artificial intelligence , mathematics , telecommunications , detector
The radar analyst can develop and use mathematical and statistical techniques that lead to accurate prediction or adapting models for estimating the target detection performance. In radar detection theory, detection probability, false alarm probability, number of samples non-coherently integrated for a detection test, and signal-to-noise ratio (SNR) are closely interrelated. The present paper is intended to provide an overview of the calculations of radar probability of detection and its related parameters. The main methods and procedures for predicting the detection performance of either non-fluctuating or fluctuating targets are described. Performance’s analysis of the studied models is included, along with some graphical simulation examples.