Robust Adaptive Beamforming Using a Low-Complexity Steering Vector Estimation and Covariance Matrix Reconstruction Algorithm [PDF]
, 2016 A novel low-complexity robust adaptive beamforming (RAB) technique is proposed in order to overcome the major drawbacks from which the recent reported RAB algorithms suffer, mainly the high computational cost and the requirement for optimization programs.
Pei Chen, Yongjun Zhao, Chengcheng Liu
semanticscholar +2 more sources
Blind Wideband Beamforming Algorithm Based on the Uncertainty Set [PDF]
Journal of Geodesy and Geoinformation Science, 2021 Without prior knowledge, the steering vector estimation error of the desired signal will deteriorate the beamforming performance to some extent.To solve this problem, a space-time blind wideband beamforming algorithm based on the uncertainty set is ...
Chao REN,Zhengxuan ZHANG,Enyuan TU
doaj +1 more source
Large Direction-of-Arrival Mismatch Correction for Adaptive Beamforming
IEEE Access, 2022 Direction-of-arrival (DOA) mismatch can degrade the performance of adaptive beamforming algorithms. Thus, a projection method is proposed to correct this mismatch.
Lin Chang +4 more
doaj +1 more source
Off‐grid direction‐of‐arrival estimation for nested arrays via uncertainty set extraction
Electronics Letters, 2021 Here, a novel off‐grid direction‐of‐arrival (DOA) estimation algorithm for nested arrays in the context of sparse recovery is proposed. The framework of existing off‐grid approaches is to correct the on‐grid parameter with a grid mismatch variable.
Zhen Chen +3 more
doaj +1 more source
New convex approaches to general MVDR robust adaptive beamforming problems
Electronics Letters, 2023 Consider general minimum variance distortionless response (MVDR) robust adaptive beamforming problems based on the optimal estimation for both the desired signal steering vector and the interference‐plus‐noise covariance (INC) matrix.
Yao Zhao +5 more
doaj +1 more source
Estimating Angle of Arrival (AoA) of multiple Echoes in a Steering Vector Space
CoRR, 2021 Consider a microphone array, such as those present in Amazon Echos, conference phones, or self-driving cars. One of the goals of these arrays is to decode the angles in which acoustic signals arrive at them. This paper considers the problem of estimating K angle of arrivals (AoA), i.e., the direct path's AoA and the AoA of subsequent echoes ...
Yu-Lin Wei, Romit Roy Choudhury
openaire +2 more sources
New Designs on MVDR Robust Adaptive Beamforming Based on Optimal Steering Vector Estimation [PDF]
IEEE Transactions on Signal Processing, 2018 The robust adaptive beamforming design problem based on estimation of the signal-of-interest (SOI) steering vector is considered in the paper. The common criteria to find the best estimate of the steering vector are the beamformer output signal-to-noise ...
Yongwei Huang +2 more
semanticscholar +1 more source
Robust adaptive beamforming using a Bayesian steering vector error model [PDF]
, 2013 We propose a Bayesian approach to robust adaptive beamforming which entails considering the steering vector of interest as a random variable with some prior distribution.
Bidon, Stéphanie, Besson, Olivier
core +1 more source
Null broadened–deepened array antenna beamforming for GNSS jamming mitigation in moving platforms
ICT Express, 2022 Steering vector and covariance matrix estimation mismatch along with moving jammer/platform, can affect the performance of null-steering beamformer. In this paper, by utilizing null-widening, null-deepening and diagonal loading shrinkage in space–time ...
Omid Sharifi-Tehrani +2 more
doaj +1 more source
The Journal of Engineering, 2019 To improve the detection performance in the presence of target-steering vector mismatches, a novel robust adaptive matched filter (AMF) detector for compound Gaussian clutter is proposed.
Xiaolin Zhang, Liang Yan, Quanhua Liu
doaj +1 more source