Active-Passive Beamforming With Imperfect CSI for IRS-Assisted Sensing System

For the intelligent reflecting surface (IRS) assisted sensing system, this letter investigates the joint design problem of active and passive beamforming with imperfect channel state information (CSI). To begin with, the beamformer design problem is formulated as a stochastic optimization problem wi...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 30; pp. 1 - 5
Main Authors Tian, Tuanwei, Deng, Hao, Li, Guchong, Ma, Rui
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Array signal processing
Beamforming
Channel estimation
imperfect CSI
Indexes
Intelligent reflecting surface
Optimization
Programming
sensing
Sensors
stochastic optimization
Stochastic processes
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Summary:For the intelligent reflecting surface (IRS) assisted sensing system, this letter investigates the joint design problem of active and passive beamforming with imperfect channel state information (CSI). To begin with, the beamformer design problem is formulated as a stochastic optimization problem with inner-layer variable (active beamforming vector) and outer-layer variable (passive phase-shift matrix), subject to the available transmit power and constant modulus constraints. Then, utilizing equivalent reformulation of the preceding design problem, we conceive a stochastic successive inner-outer programming (SSIOP) algorithm that updates the inner-layer and outer-layer variables in sequence and returns the corresponding closed-form solutions. Finally, numerical results assess the dependability of the SSIOP algorithm under an imperfect CSI scenario.
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content type line 14
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2023.3300794