Results 271 to 280 of about 97,888 (314)

Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction via Steering Vector Estimation

IEEE Sensors Journal, 2023
The performance of the sample matrix inverse (SMI) beamformer degrades greatly when the signal-to-noise ratio (SNR) increases because the signal of interest (SOI) is mistaken as interferences and suppressed. To avoid this situation, the interference-plus-
Huichao Yang, Z. Ye
semanticscholar   +1 more source

Robust Adaptive Beamforming Based on Subspace Decomposition, Steering Vector Estimation and Correction

IEEE Sensors Journal, 2022
Considering that the performance of adaptive arrays is sensitive to any type of mismatches, an innovative robust adaptive beamforming method based on covariance matrix reconstruction, subspace decomposition, steering vector estimation and correction is ...
Jian Yang, Yuwei Tu, Jianfeng Lu, Zhiwei Yang   +3 more
semanticscholar   +1 more source

Robust beamforming algorithm based on steering vector estimation and interference plus noise covariance matrix reconstruction

2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2022
We are focusing on the problem that serious performance degradation of general adaptive beamformers in the presence of model mismatch error. In this paper, a robust beamforming algorithm based on steering vector (SV) estimation and interference plus ...
Zizheng Li, Silei Cao, Weigui Zeng, Tianyu Li   +3 more
semanticscholar   +1 more source

Convolutional Maximum-Likelihood Distortionless Response Beamforming With Steering Vector Estimation for Robust Speech Recognition

IEEE/ACM Transactions on Audio Speech and Language Processing, 2021
Beamforming has been one of the most successful approaches using multi-microphones for robust speech recognition. Although a beamforming method, called the “maximum-likelihood distortionless response (MLDR)” beamformer, was recently presented to achieve ...
Byung Joon Cho, Hyung-Min Park
semanticscholar   +1 more source

Robust Adaptive Beamforming Based on Interference Covariance Matrix Reconstruction and Steering Vector Estimation

International Conference on Signal Processing, Communications and Computing, 2021
The adaptive beamformer is very sensitive to model mismatches. In order to improve the robustness of the adaptive beamformer against mismatch errors, this paper proposes a novel robust adaptive beamforming (RAB) method.
Ronggui Wang, Yuexian Wang, Chuang Han, Y. Gong, Ling Wang   +4 more
semanticscholar   +1 more source

Robust beamforming with imprecise array geometry using steering vector estimation and interference covariance matrix reconstruction

Multidimensional Systems and Signal Processing, 2015
Guisheng Liao
exaly   +2 more sources

A Novel Adaptive Beamforming Method based on Steering Vector and Interference Estimation

2022 International Applied Computational Electromagnetics Society Symposium (ACES-China), 2022
Renhong Xie, Yibin Rui
exaly   +2 more sources

Steering vector estimation in uncalibrated arrays

IEEE Transactions on Signal Processing, 1995
This paper presents an iterative algorithm for estimating the signal steering vectors and associated power levels received by an array of uncalibrated isotropic sensors. The inputs are assumed to consist of narrowband, uncorrelated directional signals in the presence of additive white noise. An iterative algorithm is employed to successively search for
Ching-Yih Tseng, David D. Feldman, Lloyd J. Griffiths   +2 more
openaire   +1 more source

Estimation of signal steering vectors in uncalibrated arrays

Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, 2002
This paper considers the problem of extracting the signal powers and steering vectors from the signal covariance matrix without the knowledge of array manifold. Under the assumption of narrowband and uncorrelated signals, it is shown that it is necessary and sufficient for the signal powers and steering vectors to satisfy two conditions, termed the ...
null Ching-Yih Tseng, D.D. Feldman, L.J. Griffiths   +2 more
openaire   +1 more source

A Steering Vector Estimation Algorithm in Uncalibrated Arrays

2008 3rd International Conference on Innovative Computing Information and Control, 2008
The projection rotation scaling algorithm has perfect performance for estimating the steering vectors of uncalibrated isotropic sensors. But orders of the estimated steering vectors have randomicity in the algorithm. This paper presents a new steering vector initialization and signal subspace forming method.
Meng-Hong Qu, Ying Wu
openaire   +1 more source