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Massachusetts Institute of Technology

Multiple Target Tracking in Experimental Multistatic MIMO mmWave Radar Sensor Networks

Abstract

dc:description.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.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Denove, ENS George Thomas
Advisors dc:contributor.advisor
  • Win, Moe Z.
  • Dehnie, Sintayehu A.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/138974
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/138974

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Denove, ENS George Thomas. Multiple Target Tracking in Experimental Multistatic MIMO mmWave Radar Sensor Networks. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/138974