A New Method for Wideband DOA Estimation
Hongqi Yu, Jian Liu, Zhitao Huang, Yiyu Zhou, Xin Xu
Abstract
Hongqi Yu, Jian Liu, Zhitao Huang, Yiyu Zhou, Xin Xu
Abstract
In this paper, a new DOA estimation algorithm for wideband sources called TOFS is introduced. This new technique estimates DOAs by measuring the orthogonal relation between the signal and the noise subspaces of multiple frequency components of the sources. Unlike other coherent wideband methods, TOFS does not require any preprocessing for initial values. The performance of the CSSM and TOPS are compared with the new method through computer simulations. The simulations show that this new technique performs better than others. At the same time, TOFS can avoid fake peaks that often appear in TOPS technique.
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In this paper, a new DOA estimation algorithm for wideband sources called TOFS is introduced. This new technique estimates DOAs by measuring the orthogonal relation between the signal and the noise subspaces of multiple frequency components of the sources. Unlike other coherent wideband methods, TOFS does not require any preprocessing for initial values. The performance of the CSSM and TOPS are compared with the new method through computer simulations. The simulations show that this new technique performs better than others. At the same time, TOFS can avoid fake peaks that often appear in TOPS technique.
Key concepts: Wideband, Preprocessor, Computer science, TOPS, Algorithm, Noise (video), Linear subspace, Speech recognition