Sense-through-wall channel modeling using UWB noise radar

Jing Liang, Qilian Liang, Sherwood W. Samn, Ram M. Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


Sensing-through-wall will benefit various applications such as emergence rescues and military operations. In order to add more signal processing functionality, it is vital to understand the characterization of sense-through-wall channel. In this paper, we propose a statistical channel model on a basis of real experimental data using UWB noise radar. We employ CLEAN algorithm to obtain the multipath channel impulse response (CIR) and observe that the channel amplitude at each path can be accurately characterized as T location-scale distribution. We also analyze that the multipath contributions arrive at the receiver are grouped into clusters. The time of arrival of clusters can be modeled as a Poisson arrival process, while within each cluster, subsequent multipath contributions or rays also arrive according to a Poisson process. However, these arrival rates are much smaller than those of indoor UWB channels.

Original languageEnglish (US)
Title of host publication2009 IEEE Globecom Workshops, Gc Workshops 2009
StatePublished - 2009
Event2009 IEEE Globecom Workshops, Gc Workshops 2009 - Honolulu, HI, United States
Duration: Nov 30 2009Dec 4 2009

Publication series

Name2009 IEEE Globecom Workshops, Gc Workshops 2009


Other2009 IEEE Globecom Workshops, Gc Workshops 2009
Country/TerritoryUnited States
CityHonolulu, HI

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Software


Dive into the research topics of 'Sense-through-wall channel modeling using UWB noise radar'. Together they form a unique fingerprint.

Cite this