DOA estimation based on time-frequency maximum likelihood
被引:0
作者:
Tian, Da
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h-index: 0
机构:
Coll. of E and E, Univ. of Electron Sci. and Technol., Chengdu 610054, ChinaColl. of E and E, Univ. of Electron Sci. and Technol., Chengdu 610054, China
Tian, Da
[1
]
Zhang, Hong
论文数: 0引用数: 0
h-index: 0
机构:
Coll. of E and E, Univ. of Electron Sci. and Technol., Chengdu 610054, ChinaColl. of E and E, Univ. of Electron Sci. and Technol., Chengdu 610054, China
Zhang, Hong
[1
]
Chen, Tian-Qi
论文数: 0引用数: 0
h-index: 0
机构:
Coll. of E and E, Univ. of Electron Sci. and Technol., Chengdu 610054, ChinaColl. of E and E, Univ. of Electron Sci. and Technol., Chengdu 610054, China
Chen, Tian-Qi
[1
]
机构:
[1] Coll. of E and E, Univ. of Electron Sci. and Technol., Chengdu 610054, China
来源:
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
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2005年
/
27卷
/
02期
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摘要:
An algorithm is presented for Direction-Of-Arrival (DOA) estimation of nonstationary signals impinging on the antenna array. The proposed method establishes a simplified array signal model in the time-frequency (t-f) domain by evaluating the cross Pseudo Wigner-Ville Distributions (PWVD) between the outputs of the reference element and other elements of the array, and provides a signal selective DOA estimator based on the t-f maximum likelihood. Compared with the Spatial Time-Frequency Distributions (STFD) matrices-based methods, the proposed method can make full use of the crossterms in the t-f plane, and the computational load is significantly reduced. Simulations are provided to demonstrate the effectiveness of the method.