Clutter-Aware Precoder Design for Integrated Sensing and Communication Systems

It is envisaged that next-generation wireless networks will provide integrated sensing and communication (ISAC) functions. Clutter is one of the major factors that degrade the performance of sensing, whereas inter-user interference degrades communication capacity. Thus, this study proposes two clutt...

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Vydané v:IEEE access Ročník 13; s. 190630 - 190643
Hlavní autori: Wang, Jingwen, Zhang, Yongwei, Temiz, Murat
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Accuracy
Antenna arrays
Block coordinate descent
Clutter
Communications equipment
Communications systems
Convexity
Integrated sensing and communication
Interference
non-convex optimization
OFDM
Optimization
precoding
Quadratic programming
Radar
Receiving antennas
sequential quadratic programming
Symbols
Transmitting antennas
Wireless networks
ISSN:2169-3536, 2169-3536
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Popis
Shrnutí:It is envisaged that next-generation wireless networks will provide integrated sensing and communication (ISAC) functions. Clutter is one of the major factors that degrade the performance of sensing, whereas inter-user interference degrades communication capacity. Thus, this study proposes two clutter-aware precoder designs for ISAC systems that maximize the sensing accuracy and communication sum rate by minimizing the impact of clutter and inter-user interference. The first precoder aims to maximize the network's sum rate while maintaining a desired signal-to-clutter-plus-noise ratio (SCNR) for sensing. On the other hand, the second precoder proposed endeavors to maximize the SCNR while ensuring a desired data rate for each communication user equipment (UE). Both precoders require solving non-convex optimization problems, which are solved via sequential quadratic programming and block coordinate descent in this study. The performance of the proposed precoding schemes is verified via extensive simulations and compared to linear and optimization-based communication-only benchmarking precoders.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2025.3628674