کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6958147 1451937 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
c-LASSO and its dual for sparse signal estimation from array data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
c-LASSO and its dual for sparse signal estimation from array data
چکیده انگلیسی
We treat the estimation of a sparse set of sources emitting plane waves observed by a sensor array as a complex-valued LASSO (c-LASSO) problem where the usual ℓ1-norm constraint is replaced by the ℓ1-norm of a matrix D times the solution vector. When the sparsity order is given, algorithmically selecting a suitable value for the c-LASSO regularization parameter remains a challenging task. The corresponding dual problem is formulated and it is shown that the dual solution is useful for selecting the regularization parameter of the c-LASSO. The solution path of the c-LASSO is analyzed and this motivates an order-recursive algorithm for the selection of the regularization parameter and a faster iterative algorithm that is based on a further approximation. This greatly facilitates computation of the c-LASSO-path as we can predict the changes in the active indices as the regularization parameter is reduced. Using this regularization parameter, the directions of arrival for all sources are estimated.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 130, January 2017, Pages 204-216
نویسندگان
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