张方正

学位:工学博士学位

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Three-dimensional Multiple Signal Classification (3D-MUSIC) for Super-resolution FMCW Radar Detection

发布时间:2020-01-13 点击次数:

所属单位:电子信息工程学院

发表刊物:IEEE Mtt-S Int. Wirel. Symp., IWS - Proc.

摘要:Three-dimensional multiple signal classification (3DMUSIC) algorithm is introduced to implement super-resolution detection in azimuth, elevation, and range directions. In implementing this algorithm, 3D spatial smoothing is applied to solve the deficient rank of the covariance matrix due to coherent echoes. Performance of this algorithm is numerically investigated based on a uniform area FMCW radar array. Simulation results show that, this 3D-MUSIC algorithm achieves super-resolution detection and performs much better than the digital beamforming (DBF) method. Based on this 3D-MUSIC algorithm, a potential application for target recognition is also demonstrated. © 2019 IEEE.

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发表时间:2019-05-01

合写作者:Zhao, Ermao,Zhang, Daocheng,潘时龙

第一作者:张方正

通讯作者:张方正

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