Presentation 2005/11/18
A Criterion for Bearing Estimation Using a Sensor Array
Masakiyo SUZUKI, Tingting TENG, Ming ZHANG, Haihua CHEN,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report, we propose a new criteion for bearing estimation of narrow band signal sources using a sensor array, considering the uncorrelateness between signals and noises. The proposed criterion maximizes the signal components statistically orthogonal to the noise components. Simulation results are shown to compare the proposed criterion with the Maximum Likelihood method with a deterministic signal model and a stochastic signal model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) uncorelateness / bearing estimationm / maximum likelihood method / deterministic signal model / stochastic signal model
Paper # SIS2005-54
Date of Issue

Conference Information
Committee SIS
Conference Date 2005/11/18(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Smart Info-Media Systems (SIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Criterion for Bearing Estimation Using a Sensor Array
Sub Title (in English)
Keyword(1) uncorelateness
Keyword(2) bearing estimationm
Keyword(3) maximum likelihood method
Keyword(4) deterministic signal model
Keyword(5) stochastic signal model
1st Author's Name Masakiyo SUZUKI
1st Author's Affiliation Graduate School of Engineering, Kitami Institute of Technology()
2nd Author's Name Tingting TENG
2nd Author's Affiliation Graduate School of Engineering, Kitami Institute of Technology
3rd Author's Name Ming ZHANG
3rd Author's Affiliation Graduate School of Engineering, Kitami Institute of Technology
4th Author's Name Haihua CHEN
4th Author's Affiliation Graduate School of Engineering, Kitami Institute of Technology
Date 2005/11/18
Paper # SIS2005-54
Volume (vol) vol.105
Number (no) 427
Page pp.pp.-
#Pages 4
Date of Issue