DocumentCode :
1664097
Title :
A robust and computationally efficient AML method for bearing estimation in shallow water
Author :
Zhang, Lijie ; Huang, Jianguo ; Hou, Yunshan ; Zhang, Qunfei
Author_Institution :
Coll. of Marine Eng., Northwestern Polytech. Univ., Xian
fYear :
2008
Firstpage :
2571
Lastpage :
2574
Abstract :
In shallow water the plane-wave assumption on arriving signals generally leads to biased estimates of direction of arrival (DOA) of signals due to the multi-mode propagation of sound wave, and the DOA estimation is much sensitive to the channel model mismatch and different working environments. To solve these problems, a less structured array data model based on normal mode sound field is brought forth and an approximate maximum likelihood (AML) DOA estimator is derived for uncorrelated narrowband signals with known waveforms arriving at a horizontal array in the presence of unknown and arbitrary spatially colored noise in the shallow water. In the proposed method, only 1-D searching procedure is needed. And it avoids the instability of DOA estimation caused by the channel-model mismatch and different working environments. The proposed method is validated by numerical simulations.
Keywords :
acoustic signal processing; acoustic wave propagation; direction-of-arrival estimation; maximum likelihood estimation; numerical analysis; DOA estimator; approximate maximum likelihood; channel model mismatch; channel-model mismatch; direction of arrival; numerical simulations; plane-wave assumption; shallow water bearing estimation; sound wave multimode propagation; Acoustic arrays; Acoustic propagation; Data models; Direction of arrival estimation; Maximum likelihood estimation; Narrowband; Oceans; Robustness; Sensor arrays; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697674
Filename :
4697674
Link To Document :
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