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Electrical Engineering and Systems Science > Signal Processing

Title: Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications -- Part I: Signal Processing

Abstract: We consider a spectral sharing problem in which a statistical (or widely distributed) multiple-input multiple-output (MIMO) radar and an in-band full-duplex (IBFD) multi-user MIMO (MU-MIMO) communications system concurrently operate within the same frequency band. Prior works on joint MIMO-radar-MIMO-communications (MRMC) systems largely focus on either colocated MIMO radars, half-duplex MIMO communications, single-user scenarios, omit practical constraints (clutter, uplink [UL]/downlink [DL] transmit powers, UL/DL quality-of-service, and peak-to-average-power ratio), or MRMC co-existence that employs separate transmit/receive units. The purpose of this and companion papers (Part II and III) is to co-design an MRMC framework that addresses all of these issues. In this paper, we propose signal processing for a distributed IBFD MRMC, where radar receiver is designed to additionally exploit the downlink communications signals reflected from a radar target. Extensive numerical experiments show that our methods improve radar target detection over conventional codes and yield a higher achievable data rate than standard precoders. The following companion paper (Part II) describes the theory and procedure of our algorithm to solve the non-convex design problem. The final companion paper (Part II) considers the case of multiple targets and examines the tracking performance of our MRMC system.
Comments: 23 pages, 5 figures, 2 tables
Subjects: Signal Processing (eess.SP); Information Retrieval (cs.IR)
Cite as: arXiv:2006.14774 [eess.SP]
  (or arXiv:2006.14774v5 [eess.SP] for this version)

Submission history

From: Kumar Vijay Mishra [view email]
[v1] Fri, 26 Jun 2020 03:22:24 GMT (2074kb,D)
[v2] Thu, 7 Oct 2021 00:54:13 GMT (4207kb,D)
[v3] Mon, 24 Jan 2022 00:34:51 GMT (4484kb,D)
[v4] Fri, 2 Sep 2022 17:24:11 GMT (5228kb,D)
[v5] Thu, 28 Mar 2024 03:24:11 GMT (1447kb,D)

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