When is Mimo Massive in Radar?
Jaimin Shah, Martina Cardone, Alex Dytso, Cynthia Rush
Abstract
This work considers a co-located MIMO radar with M<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</inf> transmitting and M<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</inf> receiving antennas in a so-called massive MIMO regime, that is, where the number of virtual spatial antennas N = M<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</inf>M<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</inf> is large. Recently, it has been demonstrated that as N grows to infinity, one can fully characterize the false alarm and detection probabilities with very minimal assumptions on the disturbance vector. In this work, these results are partially refined and a lower bound on the probability of detection is provided for any fixed, finite N under certain randomness models for the noise. This result can serve as a rule of thumb for the design of massive MIMO radar systems by indicating the number of antennas required to attain a desired target detection probability.
BibTeX
@inproceedings{icassp2023_whenismimomassiv,
title = {When is Mimo Massive in Radar?},
author = {Jaimin Shah and Martina Cardone and Alex Dytso and Cynthia Rush},
booktitle = {ICASSP 2023},
year = {2023}
}