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.
| Original language | English (US) |
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| 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 | |
| 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, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
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| Volume | 2023-June |
| ISSN (Print) | 1520-6149 |
Conference
| Conference | 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 |
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| 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