TY - JOUR
T1 - Entropy based approach for direction-of-arrival estimation in Gaussian and non-Gaussian correlated noise
AU - Zhou, Yifeng
AU - Leung, Henry
AU - Yip, Patrick C.
AU - Jin, Q.
PY - 1997/1/1
Y1 - 1997/1/1
N2 - In this paper, we present an entropy based approach for DOA estimation in Gaussian and non-Gaussian environments. The DOA estimates are obtained by minimizing an entropy measure of the array data in the noise sub-space. We show that the entropy approach leads to the MAP algorithm under the Gaussian assumption. Under the non-Gaussian assumption, we apply the varimax norm as an information measure. An intuitive consistency analysis is also performed. Computer simulations are used to demonstrate the effectiveness of the proposed approach.
AB - In this paper, we present an entropy based approach for DOA estimation in Gaussian and non-Gaussian environments. The DOA estimates are obtained by minimizing an entropy measure of the array data in the noise sub-space. We show that the entropy approach leads to the MAP algorithm under the Gaussian assumption. Under the non-Gaussian assumption, we apply the varimax norm as an information measure. An intuitive consistency analysis is also performed. Computer simulations are used to demonstrate the effectiveness of the proposed approach.
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M3 - Conference article
AN - SCOPUS:0030682337
VL - 5
SP - 3505
EP - 3508
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
SN - 0736-7791
T2 - Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5)
Y2 - 21 April 1997 through 24 April 1997
ER -