Bayesian Detection for Distributed MIMO Radar with Non-Orthogonal Waveforms in Non-Homogeneous Clutter

Zeng, Cengcang; Wang, Fangzhou; Li, Hongbin; Govoni, Mark A.

doi:10.1109/radarconf2351548.2023.10149555

2023 IEEE Radar Conference (RadarConf23) 2023

DOI: 10.1109/radarconf2351548.2023.10149555

|View full text |Cite

Bayesian Detection for Distributed MIMO Radar with Non-Orthogonal Waveforms in Non-Homogeneous Clutter

Cengcang Zeng

Fangzhou Wang

Hongbin Li

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Book1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Envisioning the Future

Sharma

2024

Advances in Computational Intelligence and Robotics

View full text Add to dashboard Cite

Massive multiple-input multiple-output (MIMO) is a dominant technology that, combined with advanced techniques and architectures, is set to play an integral role in the next-generation wireless systems. This cutting-edge technology has proved its adaptability and scalability in 5G networks by producing significant results. Recent years have seen a remarkable succession of evolutionary breakthroughs leading to revolutionary trends projected to transform future 6G wireless systems drastically. Terahertz (THz) communication, artificial intelligence (AI), cell-free structures, intelligent omni-surfaces/intelligent reflecting surfaces (IOS/IRS), and other technologies will further improve the performance capabilities of large MIMO. Furthermore, the range of diversified applications based on massive MIMO's foundation include vehicle communications, wireless localization and sensing, inter-planetary communications remote sensing, etc., and these are continuously expanding.

show abstract

Envisioning the Future

Sharma

2024

Advances in Computational Intelligence and Robotics

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Bayesian Detection for Distributed MIMO Radar with Non-Orthogonal Waveforms in Non-Homogeneous Clutter

Cited by 1 publication

References 18 publications

Envisioning the Future

Envisioning the Future

Contact Info

Product

Resources

About