Adaptive re-weighting homotopy for sparse beamforming

Fernando Goncalves De Almeida Neto, V. Nascimento, Yury Zakharov, Rodrigo Caiado De Lamare

Research output: Contribution to conferencePaperpeer-review


In this paper, a complex adaptive re-weighting algorithm based on the homotopy technique is developed and used for beamforming. A multi-candidate scheme is also proposed and incorporated into the adaptive re-weighting homotopy algorithm to choose the regularization factor and improve the signal-to-interference plus noise (SINR) performance. The proposed algorithm is used to minimize the degradation caused by sparsity in arrays with faulty sensors, or when the required degrees of freedom to suppress interference is significantly less than the number of sensors. Simulations illustrate the algorithm's performance.
Original languageEnglish
Number of pages5
Publication statusPublished - Sep 2014
EventSignal Processing Conference (EUSIPCO) - Lisbon, Portugal
Duration: 1 Sep 20145 Sep 2014


ConferenceSignal Processing Conference (EUSIPCO)

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