Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming

By Fan Liu, Ya-Feng Liu, Ang Li, Christos Masouros, Yonina C. Eldar. IEEE Transactions on Signal Processing, 2021

792 citations recorded by the source corpus.

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.

Subfields: Aerospace Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/8037d10541d538d97c4b1e6503f3d233593e2fdb

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Citations in the corpus

Integrated Sensing and Communications: Recent Advances and Ten Open Challenges (2023, methodology): “At the time of writing, research has primarily been focused on optimizing either radar performance metrics under communication constraints or vice versa [161].”
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, methodology): “We refer readers to [115], [117], [118] for more details on the use of dedicated sensing signals.”
Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization (2022, methodology): “, [14], [15], [16], [17], [18], and [19], to a general case by considering the FD capability for not only sensing but also communication and focusing on the optimization of coupled downlink and uplink transmissions.”
Twelve Scientific Challenges for 6G: Rethinking the Foundations of Communications Theory (2022, background): “Also, different metrics (detection probability, SINR, prominence and isolation) were considered to measure the overall system performance, with particular emphasis on the performance of clutter removal.”