FDA-MIMO Radar Robust Beamforming Based on Matrix Weighting Method

Robust adaptive beamforming for MIMO monopulse radar

Researchers have recently proposed a widely separated multiple-input multiple-output (MIMO) radar using monopulse angle estimation techniques for target tracking. The widely separated antennas provide improved tracking performance by mitigating complex target radar cross-section fades and angle scintillation. An adaptive array is necessary in this paradigm because the direct path from any trans...

Beamforming in MIMO Radar

An Improved Adaptive Received Beamforming for Nested Frequency Offset and Nested Array FDA-MIMO Radar

For the conventional FDA-MIMO (frequency diversity array multiple-input-multiple-output) Radar with uniform frequency offset and uniform linear array, the DOFs (degrees of freedom) of the adaptive beamformer are limited by the number of elements. A better performance-for example, a better suppression for strong interferences and a more desirable trade-off between the main lobe and side lobe-can...

A robust adaptive beamforming method based on the matrix reconstruction against a large DOA mismatch

A novel adaptive beamforming algorithm against large direction-of-arrival (DOA) mismatch without using optimization toolboxes is proposed. In contrast to previous works, this new beamformer employs two reconstructed matrices, the interference-plus-noise covariance matrix and the desired signal-plus-noise covariance matrix, instead of their real sample covariance matrix, respectively. These reco...

Robust Adaptive Beamforming Based on a Gradient Projection Method

Recently, adaptive beamforming has been widely used in wireless communications, microphone array speech processing and so on. One of the adaptive beamforming methods is directionally constrained minimization of power. However, this method is known to degrade if some of underlying assumptions on the environment, sources, or sensor array become violated [5]. To resolve this disadvantage, some met...