| Paper: | SAM-L2.1 | ||
| Session: | Blind Source Estimation and Channel Identification | ||
| Time: | Wednesday, May 19, 09:30 - 09:50 | ||
| Presentation: | Lecture | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Applications of multichannel signal processing | ||
| Title: | A ROBUST ADAPTIVE BLIND MULTICHANNEL IDENTIFICATION ALGORITHM FOR ACOUSTIC APPLICATIONS | ||
| Authors: | Zhu Liang Yu; Nanyang Technological University | ||
| Meng Hwa Er; Nanyang Technological University | |||
| Abstract: | In this paper, we propose a robust adaptive blind multichannel identification algorithm in frequency-domain. It utilizes the fast Fourier transform (FFT) to reduce the computational complexity when the channel impulse response (IR) is long. Moreover, the Newton-LMS algorithm is obtained in frequency domain with small computational load to improve the convergence speed. The advantage of the proposed method is its robustness to input noise, especially when the channel IR is long, e.g., the room acoustic IR with a length up to hundreds or thousands taps. The conventional methods cannot obtain estimate with acceptable accuracy and low computational load. The situation becomes worse when the input signal-to-noise ratio (SNR) is low. The simulation results show that the proposed method is suitable to estimate long multichannel IRs in practical environments. | ||
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