文件列表:

LICENSE.md (1085, 2017-09-03)
array (0, 2017-09-03)
array\coarray_selection_matrix_1d.m (1710, 2017-09-03)
array\coprime_1d.m (1300, 2017-09-03)
array\design_array_1d.m (1394, 2017-09-03)
array\difference_coarray.m (817, 2017-09-03)
array\get_central_ula_size.m (931, 2017-09-03)
array\get_perturbed_positions.m (845, 2017-09-03)
array\is_ula.m (878, 2017-09-03)
array\merge_arrays.m (1603, 2017-09-03)
array\mra_1d.m (2191, 2017-09-03)
array\nested_1d.m (820, 2017-09-03)
array\snapshot_gen_sto.m (1666, 2017-09-03)
array\snapshot_gen_sym.m (1942, 2017-09-03)
array\steering_matrix.m (4800, 2017-09-03)
array\uca_2d.m (734, 2017-09-03)
array\ula_1d.m (820, 2017-09-03)
array\unique_differences.m (567, 2017-09-03)
array\ura_2d.m (904, 2017-09-03)
array\weight_function_1d.m (1452, 2017-09-03)
estimator (0, 2017-09-03)
estimator\conventional_bf_1d.m (3112, 2017-09-03)
estimator\default_doa_grid.m (2142, 2017-09-03)
estimator\esprit_1d.m (4681, 2017-09-03)
estimator\find_doa_from_spectrum_1d.m (1161, 2017-09-03)
estimator\mle_sto_uc_1d.m (4704, 2017-09-03)
estimator\music_1d.m (3491, 2017-09-03)
estimator\mvdr_1d.m (3122, 2017-09-03)
estimator\refine_grid_estimates.m (1449, 2017-09-03)
estimator\rmusic_1d.m (2424, 2017-09-03)
estimator\sn_aic.m (849, 2017-09-03)
estimator\sn_ld.m (674, 2017-09-03)
estimator\sn_mdl.m (732, 2017-09-03)
estimator\sn_sorte.m (811, 2017-09-03)
estimator\sparse_bpdn_1d.m (7300, 2017-09-03)
estimator\virtual_ula_cov_1d.m (1714, 2017-09-03)
examples (0, 2017-09-03)
... ...

## What is `doa-tools` A set of MATLAB functions for direction-of-arrival (DOA) estimation related applications, including basic array designs, various DOA estimators, and tools to compute performance bounds. It serves as a small toolbox for [my research](http://research.wmz.ninja/research.html) related to array signal processing. ## Features * Several array design and difference coarray related functions. * Commonly used DOA estimators including MVDR beamformer, MUSIC, root-MUSIC, ESPRIT, etc. * Sparsity-based DOA estimator. * Functions to compute the [Cramr-Rao bounds](https://en.wikipedia.org/wiki/Cram%C3%A9r%E2%80%93Rao_bound). * Functions to compute the asymptotic covariance matrix of the estimation errors of MUSIC estimators (including difference coarray based). * Functions to visualize the estimation results. * Several useful utility functions, including a simple progress bar to display the simulation progress. ## Getting started Please refer to the examples [here](examples/). ## License The source code is released under the [MIT](LICENSE.md) license. ## Citation If you find my code helpful. You are welcomed to cite my papers [here](http://research.wmz.ninja/research.html).

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