Multi-dimensional DFT beamspace SAGE super-resolution algorithm

CM Tan, MA Beach, AR Nix

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)
242 Downloads (Pure)


A novel multi-dimensional frequency domain SAGE (space-alternating generalised expectation-maximisation) algorithm in DFT beamspace for estimating channel parameters is presented. In contrast to the classical implementation of the SAGE algorithm in element space, the proposed algorithm allows the estimates of each parameter to be optimised within a smaller domain. Further reduction in the computational complexity within each SAGE iteration is achieved since the alternating parameters in the correlation process are in the real-valued domain. A major advantage of the proposed algorithm is its ability for mapping onto parallel processors. The general implementation of the proposed algorithm with efficient matrix computation is presented, with conditions necessary for achieving the best performance stated. Finally, its performance is evaluated by using real channel measurement data.
Translated title of the contributionMulti-dimensional DFT beamspace SAGE super-resolution algorithm
Original languageEnglish
Title of host publicationSensor Array and Multichannel Signal Processing Workshop, 2002
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages475 - 479
Number of pages4
ISBN (Print)0780375513
Publication statusPublished - Aug 2002
EventSensor Array and Multichannel Signal Processing Workshop, 2002 - Hoboken, NJ, United States
Duration: 1 Aug 2002 → …


ConferenceSensor Array and Multichannel Signal Processing Workshop, 2002
Country/TerritoryUnited States
CityHoboken, NJ
Period1/08/02 → …

Bibliographical note

Conference Proceedings/Title of Journal: IEEE Sensor Array and Multichannel Signal Processing Workshop, 2002
Rose publication type: Conference contribution

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