A System for Efficient and Accurate Network Navigation
Abstract
This proposal is for instrumentation acquisition to support the construction and improvementof the demonstration platform relating to the following research plan.Positional information is of critical importance in battlefield. The proposed research focuseson the development of efficient and secure navigation networks in challenging environmentssuch as battlefields and urban areas. A new paradigm called generalized network navigationof neutral nodes (GN4) has been introduced to cope with scenarios in which externalpositional information is only available intermittently. Based on the GN4 paradigm, techniquestailored for navigation networks will be designed to improve their resource efficiency and locationsecurity. As part of the proposed research, we will build a demonstration platform fornetwork localization and navigation (NLN) with high efficiency and accuracy. The demonstrationwill bring the techniques developed in this project to the level of readiness for technologytransfer.The proposed equipment includes a high-quality digital oscilloscope as well as varioussmall components that will make up a wireless localization testbed. The digital oscilloscopewill be capable of capturing the full bandwidth of an ultra-wideband (UWB) pulse as well asanalyzing other wireless waveforms. The localization testbed will give the group the capabilityto test and demonstrate the full range of its localization algorithms in real hardware. Thetestbed will consist of UWB radios and inertial measurement units (IMUs) that can be attachedto quadcopters, pedestrians, or left stationary.The broader impacts include the application of the proposed approaches to various wirelessnetworks which involve inference and communication, such as sensor networks and cognitivenetworks. Several graduate and undergraduate students will be involved in this project, thuspreparing them for the challenges in designing and developing advanced wireless networks.Finally, the insights gained through experimentation will be integrated into courses at MIT.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 05, 2017
- Source ID
- N000141712379
Entities
People
- Moe Z. Win
Organizations
- Massachusetts Institute of Technology
- Office of Naval Research
- United States Navy