Direction of arrival estimation using robust complex Lasso

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

Kuvaus

The Lasso (Least Absolute Shrinkage and Selection Operator) has been a popular technique for simultaneous linear regression estimation and variable selection. In this paper, we propose a new novel approach for robust Lasso that follows the spirit of M-estimation. We define M-Lasso estimates of regression and scale as solutions to generalized zero sub-gradient equations. Another unique feature of this paper is that we consider complex-valued measurements and regression parameters, which requires careful mathematical characterization of the problem. An explicit and efficient algorithm for computing the M-Lasso solution is proposed that has comparable computational complexity as state-of-the-art algorithm for computing the Lasso solution. Usefulness of the M-Lasso method is illustrated for direction-of-arrival (DoA) estimation with sensor arrays in a single snapshot case.

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2016 10th European Conference on Antennas and Propagation, EuCAP 2016
TilaJulkaistu - 31 toukokuuta 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaEuropean Conference on Antennas and Propagation - Davos, Sveitsi
Kesto: 10 huhtikuuta 201615 huhtikuuta 2016
Konferenssinumero: 10

Julkaisusarja

NimiProceedings of the European Conference on Antennas and Propagation
ISSN (elektroninen)2164-3342

Conference

ConferenceEuropean Conference on Antennas and Propagation
LyhennettäEuCAP
MaaSveitsi
KaupunkiDavos
Ajanjakso10/04/201615/04/2016

ID: 6762308