Noise-Type Radars: Probability of Detection vs. Correlation Coefficient and Integration Time
Abstract
Noise radars have the same mathematical description as a type of quantum radar known as quantum two-mode squeezing radar. Although their physical implementations are very different, this mathematical similarity allows us to analyze them collectively. We may consider the two types of radars as forming a single class of radars, called noise-type radars. The target detection performance of noise-type radars depends on two parameters: the number of integrated samples and a correlation coefficient. In this paper, we show that when the number of integrated samples is large and the correlation coefficient is low, the detection performance becomes a function of a single parameter: the number of integrated samples multiplied by the square of the correlation coefficient. We then explore the detection performance of noise-type radars in terms of this emergent parameter; in particular, we determine the probability of detection as a function of this parameter.
Cite
@article{arxiv.2208.03417,
title = {Noise-Type Radars: Probability of Detection vs. Correlation Coefficient and Integration Time},
author = {David Luong and Bhashyam Balaji and Sreeraman Rajan},
journal= {arXiv preprint arXiv:2208.03417},
year = {2022}
}
Comments
7 pages, 7 figures, 2 tables