In this letter, a reduced-rank beamforming method is presented based on knowledge-aided
joint iterative optimization. The proposed adaptive reduced-rank processing is realized by …

The proposed method realizes adaptive reduced-dimension processing based on joint
optimization of both reduced-dimension matrix and beam-forming weight vector. Meanwhile …

Based on the derivative constraints, a reduced-rank cross-spectral metric (CSM) adaptive
beamforming algorithm is proposed in this paper. In the proposed algorithm, the derivative …

In conventional reduced rank minimum variance beamformer (RRMVB), a rank-reducing
transformation is usually obtained from eigenvectors of the estimated sample covariance …

Focusing on the problem that the performance of traditional adaptive beamformer declines
sharply when the covariance matrix contains the target signal component and the mismatch …

A reduced-rank method called joint iterative optimization direction-adaptive (JIO-DA)
scheme is proposed for adaptive beamforming in large array scenarios based on the linear …

A robust reduced-rank adaptive beamforming method based on the joint iterative
optimization direction-adaptive (JIO-DA) scheme is developed for the large array scenarios …

Based on joint iterative optimization, a robust widely linear (WL) reduced-rank minimum
variance distortion less response (MVDR) beam forming algorithm is proposed for …

The majority of the existing adaptive beamforming methods utilize the interference-plus-
noise covariance matrix (INCM) to prevent the signal of interest (SOI) from being …

A robust forward backward (FB) beamformer for an incoherently scattered general-rank
signal model with real-valued implementation is proposed based on the uniform linear array …