@inproceedings{e62ad46cab214f059906adfe05ca5ce9,
title = "Adaptive matched filter detection method on underwater small aperture array",
abstract = "To solve the detection problem in underwater colored noise on small aperture array, an adaptive matched filter based on maximum likelihood (ML-AMF) is proposed in this paper. A new test statistic is deduced. ML-AMF method is robust to the uncertainness of steering vector. Simulation and experiment results show the efficiency of the method. Experiment results on an 8 element array show that ML-AMF performs better than minimum variance distortionless response (MVDR) and conventional beamforming (CBF) of 15dB and 1217dB respectively.",
keywords = "AMF, color noise, detection, Small aperture array",
author = "Jing Wang and Jianguo Huang and Yameng Jiao and Qunfei Zhang",
year = "2011",
doi = "10.1109/SSP.2011.5967837",
language = "英语",
isbn = "9781457705700",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
publisher = "IEEE Computer Society",
pages = "97--100",
booktitle = "2011 IEEE Statistical Signal Processing Workshop, SSP 2011",
}