@inproceedings{571b7e927def454aab11350d1f945bc1,
title = "A sparse representation based DOA estimation algorithm for a mixture of circular and noncircular signals using sparse arrays",
abstract = "The under-determined direction of arrival (DOA) estimation problem for a mixture of circular and non-circular signals is studied in the context of sparse arrays and a novel compressive sensing based DOA estimation algorithm is proposed. Compared to a direct application of existing compressive sensing based DOA estimation algorithm, the new one can make a more effective use of the degree of freedoms provided by both the difference co-array and the sum co-array, which are generated by vectorising the covariance matrix and pseudo covariance matrix of the array, respectively. Simulation results are presented to show the improved performance by the proposed algorithm.",
keywords = "difference co-array, noncircular signals, Sparse arrays, sum co-array",
author = "Jingjing Cai and Bin Wu and Peng Li and Wei Liu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017 ; Conference date: 22-10-2017 Through 25-10-2017",
year = "2018",
month = jan,
doi = "10.1109/ICSPCC.2017.8242579",
language = "English",
series = "2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017",
}