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Order Statistical Filtering: a Robust Method of Noise Estimation |
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| Institution: | 1. School of Mechanical Engineering, University of Birmingham, Birmingham, UK;2. School of Mechanical and Automotive Engineering, Hefei University of Technology, Anhui, China;3. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China;1. Bioenergy 2020+ GmbH, Wienerstrasse 49, 7540 Guessing, Austria;2. TU Wien, Institute of Chemical Engineering, Getreidemarkt 9, 1060 Vienna, Austria |
| Abstract: | The detection of a narrowband signal in a sonar environment with spatially uncorrelated white noise depends very much on the accuracy in estimating the noise power so that a threshold can be correctly fixed. The conventional MA method presents a large bias when operated in an environment where interfering signals exist in the neighborhood. Various types of nonlinear methods based on the use of order statistics are introduced and analyzed and are found to be much more robust. |
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