Blind Selection of Representative Observations for Sensor Radar Networks

Sensor radar networks enable important new applications based on accurate localization. They rely on the quality of range measurements, which serve as observations for inferring a target location. In harsh propagation environments (e.g., indoors), such observations can be nonrepresentative of the target due to noise, multipath, clutter, and non-line-of-sight conditions leading to target misdetection, false-alarm events, and inaccurate localization. These conditions can be mitigated by selecting and processing a subset of representative observations. The authors introduce blind techniques for the selection of representative observations gathered by sensor radars operating in harsh environments. A methodology for the design and analysis of sensor radar networks is developed, taking into account the aforementioned impairments and observation selection. Results are obtained for noncoherent ultra-wideband sensor radars in a typical indoor environment (with obstructions, multipath, and clutter) to enable a clear understanding of how observation selection improves the localization accuracy.

• Record URL:
  • https://doi.org/10.1109/TVT.2015.2397312
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Authors:
  • Bartoletti, S
  • Giorgetti, A
  • Win, M Z
  • Conti, A
• Publication Date: 2015-4

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 1388-1400
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 64
  • Issue Number: 4
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 0018-9545
  • Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25

Subject/Index Terms

• TRT Terms: Design; Location; Networks; Performance measurement; Radar; Sensors
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment; I90: Vehicles;

Filing Info

• Accession Number: 01564512
• Record Type: Publication
• Files: TRIS
• Created Date: May 26 2015 4:12PM