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Cited by 774

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming

Open access
Liu, Fan, Liu, Ya-Feng, Li, Ang, Masouros, Christos, Eldar, Yonina C.·2022·IEEE Transactions on Signal Processing

Abstract

In this paper, we propose multi-input multi-output (MIMO) beamforming designs towards joint radar sensing and multi-user communications. We employ the Cramér-Rao bound (CRB) as a performance metric of target estimation, under both point and extended target scenarios. We then propose minimizing the CRB of radar sensing while guaranteeing a pre-defined level of signal-to-interference-plus-noise ratio (SINR) for each communication user. For the single-user scenario, we derive a closed form for the optimal solution for both cases of point and extended targets. For the multi-user scenario, we show that both problems can be relaxed into semidefinite programming by using the semidefinite relaxation approach, and prove that the global optimum can be generally obtained. Finally, we demonstrate numerically that the globally optimal solutions are reachable via the proposed methods, which provide significant gains in target estimation performance over state-of-the-art benchmarks.

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Metadata

Authors
Liu, F., Liu, Y.-F., Li, A., Masouros, C., & Eldar, Y. C.
Venue
IEEE Transactions on Signal Processing
Published
2022
Volume
70
Pages
240-253
ISSN
  • 1053-587X (ISSN-L)
  • 1941-0476
OpenAlex
W4205204500
Cited by
774
References
34
FWCI
47.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming. https://app.cochat.ai/papers/10.1109/tsp.2021.3135692
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Liu, F., Liu, Y.-F., Li, A., Masouros, C., & Eldar, Y. C. (2022). Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2021.3135692

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