Compressed sensing technology for flexible wireless system

Doohwan Lee, Takayuki Yamada, Hiroyuki Shiba, Yo Yamaguchi, Kazuhiro Uehara

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


We are developing a flexible wireless system (FWS) in response to the rapid development of and changes to wireless radio environments. FWS is a unified wireless platform that simultaneously receives various types of wireless signals at distributed remote stations and performs signal processing at the central station by transferring the received radio wave data via the wired access line. As a partial fulfillment of our system, we have applied compressed sensing technology as a radio wave data compression technology for FWS. Compressed sensing is a new framework for solving an ill-posed inverse problem of a sparse signal. Direct translation of compressed sensing in the sense of wireless technology is as follows: radio wave data can be received, transmitted, and reconstructed using sub-Nyquist rate information without aliasing if the original radio wave is sparse. To provide a full understanding of our approach, this article first reviews basic knowledge about compressed sensing and then describes the application scenario of compressed sensing in FWS.

Original languageEnglish
JournalNTT Technical Review
Issue number3
Publication statusPublished - Mar 2011
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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