Robust decentralized direction-of-arrival estimation in contaminated noise Export

@article{DavidLee1990, abstract = {A novel scheme for direction-of-arrival (DOA) estimation is presented. The procedure provides estimates that are robust against outliers and distributional uncertainties. It also employs decentralized processing in which each subarray site provides a robust estimate of the number of sources accompanied by its corresponding reliability statistics, so that only the reliable estimates of the number of sources are combined at the fusion center. A robust technique is used to combine the corresponding DOA estimates from the subarray sites. Simulation results show that the scheme performs consistently when the outlier noise is present, whereas the performance of the corresponding nonrobust method deteriorates quickly even with a slight change of the noise environment. This is especially significant at a low signal-to-noise ratio}, author = {Lee, D. D. and Kashyap, R. L. and Madan, R. N.}, booktitle = {Acoustics, Speech and Signal Processing, IEEE Transactions on}, citeulike-article-id = {4114780}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/29.106867}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=106867}, doi = {10.1109/29.106867}, journal = {Acoustics, Speech and Signal Processing, IEEE Transactions on}, keywords = {davidlee1990, trimrf}, number = {3}, pages = {496--505}, posted-at = {2009-02-28 02:33:32}, priority = {2}, title = {Robust decentralized direction-of-arrival estimation in contaminated noise}, url = {http://dx.doi.org/10.1109/29.106867}, volume = {38}, year = {1990} }

TY - JOUR ID - DavidLee1990 L3 - citeulike-article-id:4114780 N2 - A novel scheme for direction-of-arrival (DOA) estimation is presented. The procedure provides estimates that are robust against outliers and distributional uncertainties. It also employs decentralized processing in which each subarray site provides a robust estimate of the number of sources accompanied by its corresponding reliability statistics, so that only the reliable estimates of the number of sources are combined at the fusion center. A robust technique is used to combine the corresponding DOA estimates from the subarray sites. Simulation results show that the scheme performs consistently when the outlier noise is present, whereas the performance of the corresponding nonrobust method deteriorates quickly even with a slight change of the noise environment. This is especially significant at a low signal-to-noise ratio IS - 3 JF - Acoustics, Speech and Signal Processing, IEEE Transactions on EP - 505 TI - Robust decentralized direction-of-arrival estimation in contaminated noise VL - 38 T2 - Acoustics, Speech and Signal Processing, IEEE Transactions on SP - 496 KW - davidlee1990 KW - trimrf AU - Lee, DD AU - Kashyap, RL AU - Madan, RN PY - 1990/// UR - http://dx.doi.org/10.1109/29.106867 ER -