University of Illinois Urbana-Champaign

On Estimation of Angles of Arrival in Monostatic ISAC Without Instantaneous Transmit CSI

Sams, Ataher; Di Bari, Simone; Smida, Besma; Devroye, Natasha; Tuninetti, Daniela; Taricco, Giorgio

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https://hdl.handle.net/2142/130332

Description

Title
On Estimation of Angles of Arrival in Monostatic ISAC Without Instantaneous Transmit CSI
Author(s)
  • Sams, Ataher
  • Di Bari, Simone
  • Smida, Besma
  • Devroye, Natasha
  • Tuninetti, Daniela
  • Taricco, Giorgio
Issue Date
2025-09-17
Keyword(s)
  • Integrated sensing and communication(ISAC)
  • MMSE
  • Ergodic rate
Abstract
This paper explores the fundamental limits of Integrated Sensing and Communication (ISAC) in a more realistic setting compared to previous literature when the Base Staion (BS) has only statistical CSI of the communication user rather than full CSI. We analyze a monostatic setting where the BS performs multi-target Angle of Arrival (AoA) estimation while simultaneously communicating with one of the targets. We assume that the BS has statistical CSI about all AoAs, with less uncertainty in the AoA of the communication receiver. The communication receiver is assumed to have perfect CSI. Utilizing a Bayesian Cramér-Rao Bound (BCRB) framework to characterize the fundamental limits of sensing under minimum mean square error (MMSE) criteria, we derive achievable BCRB-rate trade-off regions. Our approach introduces a number of transmission strategies that share power across sensing and communication beams over a coherence time. Our analysis reveals that beam allocation strategies leveraging the principal eigenvectors of the target-specific sensing matrices minimize individual AoA estimation errors, while strategies balancing sensing and communication directions optimize joint estimation performance at the cost of individual accuracy. We demonstrate that leveraging updated BCRB-based sensing information for the communication receiver, due to its lower channel uncertainty, enables significantly improved communication rates.
Publisher
Allerton Conference on Communication, Control, and Computing
Series/Report Name or Number
2025 61st Allerton Conference on Communication, Control, and Computing Proceedings
ISSN
2836-4503
Type of Resource
Text
Genre of Resource
Conference Paper/Presentation
Language
eng
Handle URL
https://hdl.handle.net/2142/130332&&
Copyright and License Information
Copyright 2025 owned by the authors.

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61st Allerton Conference - 2025 PRIMARY
Allerton Conference on Communication, Control, and Computing, 1977-present