Adaptive noise cancellation applied to the NUWES test ranges
Herdegen, Dale W.
Therrien, Charles W.
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This thesis investigates the application of adaptive filtering at the NUWES test ranges. Two adaptive algorithms, least-mean-squares and recursive-least squares are studied. To facilitate this investigation, a model of the test ranges was developed. This model accounts for spherical spreading and linear attenuation of the propagated acoustic signals as well as the effects of Doppler shift, multipath, and finite propagation delay time. After describing the model, the adaptive filtering algorithms are briefly explained. Then two schemes of adaptive filtering, adaptive noise cancellation and adaptive line enhancement, are applied to the model. Simulation results of the noise cancellation and tine enhancement schemes are presented for several scenarios.
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