研究目的
To develop a computationally efficient pitch and DOA estimation algorithm by utilizing the structure of a spatio-temporal signal model for multichannel harmonic sinusoidal signals.
研究成果
The proposed ESPRIT-based method for joint estimation of pitch and DOA is computationally more efficient than existing methods and performs similarly in terms of estimation accuracy. The method is effective for both synthetic and real-life signals.
研究不足
The method assumes the number of sources and the number of harmonics are known a priori or determined with some available methods. The performance may be degraded in the presence of frequency overlapping of sources, reverberation, and strong noise environments.
1:Experimental Design and Method Selection:
The ESPRIT method based on subspace techniques is used to estimate the multi pitch frequencies and DOA of multiple harmonic signals.
2:Sample Selection and Data Sources:
Synthetic data and real-life recorded data are used.
3:List of Experimental Equipment and Materials:
A uniform linear array with inter-element spacing, sampling frequency, and speed of sound are specified.
4:Experimental Procedures and Operational Workflow:
The spatio-temporal matrix signal model is defined, and the ESPRIT method is applied to estimate pitch and DOA.
5:Data Analysis Methods:
The root mean square error (RMSE) is used to evaluate the estimation accuracy.
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