A set of MATLAB codes for direction-of-arrival (DOA) estimation, beamforming.
The codes provide:
-Uniform linear array (ULA) - Signal-to-noise ratio (SNR) performance (root mean square error vs SNR) [a0_ULA_SNR.m]
-ULA - Snapshot performance [a0_ULA_Snapshot.m]
-Non-Uniform linear array (NUA) - SNR performance [a1_NUA_SNR.m]
-NUA - Snapshot performance [a1_NUA_Snapshot.m]
-M. Wagner, Y. Park, and P. Gerstoft, “Gridless DOA estimation and root-MUSIC for non-uniform linear arrays,” IEEE Trans. Signal Process. 69, 2144–2157 (2021).
-Y. Park and P. Gerstoft, “Gridless sparse covariance-based beamforming via alternating projections including co-prime arrays,” J. Acoust. Soc. Am. 151(6), 3828-3837 (2022).
-M. Wagner, P. Gerstoft, and Y. Park, “Gridless DOA estimation via alternating projections,” in Proc. IEEE ICASSP (2019), pp. 4215–4219.
-Y. Park and P. Gerstoft, “Alternating projections gridless covariance-based estimation for DOA,” in Proc. IEEE ICASSP (2021), pp. 4385–4389.
Version 1.0: (05/09/2022 by Y. Park)
System framework as defined in Noiselab DOA estimation.
Version 2.0: (06/08/2022 by Y. Park) AP Covariance [JASA 2022]
Mark Wagner, Yongsung Park, & Peter Gerstoft
MPL/SIO/UCSD
wagnermark1992@gmail.com
yongsungpark@ucsd.edu
gerstoft@ucsd.edu