Vector ML focused beamforming algorithm for motion parameters estimation | IEEE Conference Publication | IEEE Xplore

Vector ML focused beamforming algorithm for motion parameters estimation


Abstract:

For the near-field parameters estimation, the propagation delay of different target is quadratically varying with sensor location. The conventional high-resolution DOA es...Show More

Abstract:

For the near-field parameters estimation, the propagation delay of different target is quadratically varying with sensor location. The conventional high-resolution DOA estimation methods are no longer applicable directly. This paper deals with near-field localization problem by combining the advantages of the vector sensor array processing and maximum likelihood estimation in the condition of correlated signal, and propose the motion parameters estimation algorithm based on the vector maximum likelihood (ML) focused beamforming. The capability of vector ML focused beamforming algorithm has been validated by simulation results.
Date of Conference: 28-30 September 2020
Date Added to IEEE Xplore: 23 November 2020
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Conference Location: Taoyuan, Taiwan

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