Transform-sensing array based on wavelets

Siyang Cao, David Brendel, Yuan F. Zheng, Robert L. Ewing

Research output: Contribution to journalArticlepeer-review


Transform sensing is proposed to sense the space through certain beam patterns designed for a transformation basis. The received signals will be the result of transformation instead of the original raw data. In doing so, the process of generating an arbitrary beam pattern on the phased array and multiple-input multiple-output is described. We further propose a transform-sensing mechanism using wavelets, and compare it with traditional sensing methods. Simulations and experiments demonstrate how to generate the transmission patterns and sense through the transform-sensing mechanism. The results show that transform sensing obtains high-resolution data on the target area, while spending less time on nontarget ones that need low resolutions. In this way, the new sensing mechanism generates a multiresolution result, which balances resolution and sensing efficiency.

Original languageEnglish (US)
Pages (from-to)2804-2823
Number of pages20
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number4
StatePublished - Apr 2018


  • Antenna radiation patterns
  • Multiple-input multiple-output (MIMO)
  • Phased array
  • Transform sensing
  • Wavelets

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)


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