CSSM¶
-
class
pyroomacoustics.doa.cssm.
CSSM
(L, fs, nfft, c=343.0, num_src=1, mode='far', r=None, azimuth=None, colatitude=None, num_iter=5, **kwargs)¶ Bases:
pyroomacoustics.doa.music.MUSIC
Class to apply the Coherent Signal-Subspace method [CSSM] for Direction of Arrival (DoA) estimation.
Note
Run locate_sources() to apply the CSSM algorithm.
Parameters: - L (numpy array) – Microphone array positions. Each column should correspond to the cartesian coordinates of a single microphone.
- fs (float) – Sampling frequency.
- nfft (int) – FFT length.
- c (float) – Speed of sound. Default: 343 m/s
- num_src (int) – Number of sources to detect. Default: 1
- mode (str) – ‘far’ or ‘near’ for far-field or near-field detection respectively. Default: ‘far’
- r (numpy array) – Candidate distances from the origin. Default: np.ones(1)
- azimuth (numpy array) – Candidate azimuth angles (in radians) with respect to x-axis. Default: np.linspace(-180.,180.,30)*np.pi/180
- colatitude (numpy array) – Candidate colatitude angles (in radians) with respect to z-axis. Default is x-y plane search: np.pi/2*np.ones(1)
- num_iter (int) – Number of iterations for CSSM. Default: 5
References
[CSSM] H. Wang, M. Kaveh, Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources, IEEE Trans. Acoust., Speech, Signal Process., Vol. 33, Num. 4, pp 823–831, 1985