Adaptive Reweighting Homotopy Algorithms Applied to Beamforming

作者：Almeida Neto Fernando G; de lamare Rodrigo C; Nascimento Vitor H; Zakharov Yuriy V

来源：IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(3): 1901-1915.

DOI：10.1109/TAES.2015.140401

We develop adaptive beamforming algorithms that are robust against sensor failure and ill-conditioning in the autocorrelation matrix (common in low-rank interference scenarios). Both goals are achieved simultaneously through the use of l(1) regularization. The algorithms are based on the complex adaptive reweighting homotopy technique. We also develop iterative versions of the algorithms that take advantage of properties of homotopy l(1) solvers and dichotomous coordinate iterations to reduce considerably the computational complexity, compared with other regularization methods.

• 出版日期2015-7