Statistically Robust Beamforming Design for Joint Target Detection and Communications

The detection probability of radar, as a widely used sensing metric used by the integrated sensing and communication (ISAC) beamforming design, typically relies on the true sensing parameters, which can hardly be achieved. In this work, we present a statistically robust ISAC beamforming design to co...

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Vydané v:	IEEE internet of things journal Ročník 12; číslo 23; s. 51701 - 51715
Hlavní autori:	Liu, Pingchuan, Shen, Hong, Xu, Wei, Zhou, Shixian, Zhao, Chunming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.12.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Angle of reflection Array signal processing Beamforming Closed form solutions Clutter Communication Constraints Detection probability Errors Estimation error Exact solutions Integrated sensing and communication integrated sensing and communication (ISAC) majorization–minimization (MM) Object detection Optimization Parameter estimation Performance degradation Radar Radar detection Reflectance Robot sensing systems Robust design robust ISAC beamforming Signal to noise ratio Target detection Vectors
ISSN:	2327-4662, 2327-4662
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