Sparse Methods for Direction-of-Arrival Estimation
نویسندگان
چکیده
3 Sparse Representation and DOA estimation 7 3.1 Sparse Representation and Compressed Sensing . . . . . . . . . . . . . . . . . . . . . . . . 7 3.1.1 Problem Formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.1.2 Convex Relaxation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3.1.3 `q Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 3.1.4 Maximum Likelihood Estimation (MLE) . . . . . . . . . . . . . . . . . . . . . . . 11 3.2 Sparse Representation and DOA Estimation: the Link and the Gap . . . . . . . . . . . . . . 12
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ورودعنوان ژورنال:
- CoRR
دوره abs/1609.09596 شماره
صفحات -
تاریخ انتشار 2016