2026-09-18T18:56:43Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1389742022-01-15T03:42:12Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Win, Moe Z.
Dehnie, Sintayehu A.
Denove, ENS George Thomas
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
2022-01-14T14:42:08Z
2022-01-14T14:42:08Z
2021-06
2021-06-16T13:26:24.493Z
https://hdl.handle.net/1721.1/138974
0000-0003-0308-8602
Location awareness of non-collaborative targets within 5G and beyond systems is becoming ever more prominent. This paper presents a passive, hardware-agnostic multiple target tracking (MTT) system that addresses the shortcomings in current wireless position technology and is capable of seamlessly integrating with millimeter-wave (mmWave) communication infrastructure. The developed system is a radar sensor network (RSN) composed of distributed low-cost mmWave devices, which are designed to simultaneously transmit and receive for improved network throughput. We develop Doppler compensation and signal decoding algorithms integral to properly resolving target position information through multistatic sensing channels. Results indicate our system’s advancements achieve performance improvements over existing systems in non-collaborative target detection and MTT in harsh wireless environments.
S.M.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright retained by author(s)
https://rightsstatements.org/page/InC-EDU/1.0/
Multiple Target Tracking in Experimental Multistatic MIMO mmWave Radar Sensor Networks
Thesis
application/pdf
Master
Master of Science in Aeronautics and Astronautics
Publication
unknown
unknown
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<Abstract>Location awareness of non-collaborative targets within 5G and beyond systems is becoming ever more prominent. This paper presents a passive, hardware-agnostic multiple target tracking (MTT) system that addresses the shortcomings in current wireless position technology and is capable of seamlessly integrating with millimeter-wave (mmWave) communication infrastructure. The developed system is a radar sensor network (RSN) composed of distributed low-cost mmWave devices, which are designed to simultaneously transmit and receive for improved network throughput. We develop Doppler compensation and signal decoding algorithms integral to properly resolving target position information through multistatic sensing channels. Results indicate our system’s advancements achieve performance improvements over existing systems in non-collaborative target detection and MTT in harsh wireless environments.</Abstract>
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