| Paper: | AE-P1.6 | ||
| Session: | Loudspeaker and Microphone Array Processing | ||
| Time: | Wednesday, May 17, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Audio and Electroacoustics: Loudspeaker and Microphone Array Signal Processing | ||
| Title: | Noise Robust Adaptive Blind Channel Identification Using Spectral Constraints | ||
| Authors: | Nikolay Gaubitch, Imperial College London, United Kingdom; Md. Kamrul Hasan, Bangladesh University of Engineering and Technology, Bangladesh; Patrick Naylor, Imperial College London, United Kingdom | ||
| Abstract: | A class of adaptive blind channel identification algorithms were proposed recently and were demonstrated to be able to successfully identify various types of channels when the observed signals are free from significant levels of measurement noise. In this paper, we provide a study of the effects of noise on these algorithms and show that they misconverge even at moderate values of SNR. We introduce a spectral constraint into the adaptation rule and show that the robustness to noise can be considerably improved. Simulation results are presented for the new algorithm, which demonstrate a significant performance improvement in terms of normalized projection misalignment. | ||
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