When is Mimo Massive in Radar?

Jaimin Shah; Martina Cardone; Alex Dytso; Cynthia Rush

doi:10.1109/icassp49357.2023.10095421

When is Mimo Massive in Radar?

Jaimin Shah
, Martina Cardone
, Alex Dytso
, Cynthia Rush

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This work considers a co-located MIMO radar with M_T transmitting and M_R receiving antennas in a so-called massive MIMO regime, that is, where the number of virtual spatial antennas N = M_TM_R 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.

Original language	English (US)
Title of host publication	ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728163277
DOIs	https://doi.org/10.1109/icassp49357.2023.10095421
State	Published - 2023
Event	48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Greece Duration: Jun 4 2023 → Jun 10 2023

Publication series

Name	ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Conference

Conference	48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Country/Territory	Greece
City	Rhodes Island
Period	6/4/23 → 6/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

MIMO radar
Rényi divergence
disturbance distribution
probability of detection

Publisher link

10.1109/icassp49357.2023.10095421

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Cite this

Shah, J., Cardone, M., Dytso, A., & Rush, C. (2023). When is Mimo Massive in Radar? In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings (ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icassp49357.2023.10095421

When is Mimo Massive in Radar? / Shah, Jaimin; Cardone, Martina; Dytso, Alex et al.
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shah, J, Cardone, M, Dytso, A & Rush, C 2023, When is Mimo Massive in Radar? in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers Inc., 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island, Greece, 6/4/23. https://doi.org/10.1109/icassp49357.2023.10095421

Shah J, Cardone M, Dytso A, Rush C. When is Mimo Massive in Radar? In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)). doi: 10.1109/icassp49357.2023.10095421

@inproceedings{6dcf8443d7614292b4d4b0576dd3054a,

title = "When is Mimo Massive in Radar?",

abstract = "This work considers a co-located MIMO radar with MT transmitting and MR receiving antennas in a so-called massive MIMO regime, that is, where the number of virtual spatial antennas N = MTMR 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.",

keywords = "MIMO radar, R{\'e}nyi divergence, disturbance distribution, probability of detection",

author = "Jaimin Shah and Martina Cardone and Alex Dytso and Cynthia Rush",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 ; Conference date: 04-06-2023 Through 10-06-2023",

year = "2023",

doi = "10.1109/icassp49357.2023.10095421",

language = "English (US)",

series = "ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings",