Squared Range Weighted Least Squares Source Localization Based on the Element-Wise and Vector-Wise Orthogonality Principles

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概要

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• Estimating a location of mobile phones or sound source is of considerable interest in wireless communications and signal processing. In this letter, we propose squared range weighted least squares (SRWLS) using the range estimate attained from the Taylor series-based maximum likelihood. The weight can be determined more accurately when using the proposed method, compared with the existing methods using the variance of noise. The simulation results show that the proposed method is superior to the existing methods in RMSE as the measurement noise amount of sensors increases.

• （社）電子情報通信学会の論文
• 2009-12-01

著者

• Hong Kwang-seok

  Sungkyunkwan University

• Hong Kwang-seok

  Sungkyunkwan Univ.

• PARK Chee-Hyun

  Sungkyunkwan University

• PARK Chee-Hyun

  Sungkyunkwan Univ.

関連論文

• A Modified Variable Error-Data Normalized Step-Size LMS Adaptive Filter Algorithm
• A Variable Error Data Normalized Step-Size LMS Adaptive Filter Algorithm : Analysis and Simulations
• Squared Range Weighted Least Squares Source Localization Based on the Element-Wise and Vector-Wise Orthogonality Principles

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