Prediction and modeling for the time-evolving ultra-wideband channel

Jonathan Tsao, David Porrat, David Tse

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


We conduct a feasibility study of ultra-wideband (UWB) channel prediction to answer the following two questions: Is the UWB channel predictable? Is UWB channel prediction useful? We setup the problem in the following way: A receiver travels along a linear trajectory at a constant velocity. The transmitter and environment are stationary. Using past channel measurements, the receiver predicts future measurements of the channel, assuming its direction of movement and velocity remain constant. Our approach is to decompose the time evolution of the channel, which is jointly correlated in time and delay, in terms of the time evolution of individual paths, which are independent across delay. A measurement campaign was conducted in the Berkeley Wireless Research Center, where measurements were taken with line-of-sight (LOS) and non-line-of-sight (NLOS) conditions. We develop a channel prediction algorithm, and evaluate results in terms of the matched filter output energy (MFOE). Iterating through the six strongest paths, our prediction algorithm achieves more than 70% (40%) of the possible MFOE over a prediction distance of 34 cm for the LOS (NLOS) conditions. These results are good since the coherence distance, being the distance for which the channel is approximately constant, is less than 1 cm.

Original languageEnglish
Pages (from-to)340-356
Number of pages17
JournalIEEE Journal on Selected Topics in Signal Processing
Issue number3
StatePublished - Oct 2007
Externally publishedYes

Bibliographical note

Funding Information:
Manuscript received December 1, 2006; revised March 5, 2007. This work was supported by the UWB MURI grant from the Army Research Office and by the National Science Foundation Graduate Research Fellowship. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Michael Honig.


  • Angle of arrival estimation
  • Channel measurements
  • Channel modeling
  • Channel prediction
  • Multipath channel
  • Ultra-wideband communications


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