scholarly journals Underdetermined DOA estimation exploiting the higher‐order cumulants of harmonic steering vector with time‐modulated arrays

2021 ◽  
Author(s):  
Yue Ma ◽  
Chen Miao ◽  
Yue‐Hua Li ◽  
Wen Wu
Keyword(s):  
Doa Estimation ◽  
Higher Order ◽  
Steering Vector ◽  
Higher Order Cumulants

scholarly journals An Efficient Improved OGWSBI Algorithm for Accurate Off-Grid DOA Estimation of Coherent Signals

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiangjun Xu ◽  
Mingwei Shen ◽  
Di Wu ◽  
Daiyin Zhu
Keyword(s):  
Bayesian Inference ◽  
Unitary Transformation ◽  
Order Approximation ◽  
Doa Estimation ◽  
Higher Order ◽  
Estimation Accuracy ◽  
Real Field ◽  
Coherent Signals ◽  
Steering Vector ◽  
Grid Model

The performance of the weighted sparse Bayesian inference (OGWSBI) algorithm for off-grid coherent DOA estimation is not satisfactory due to the inaccurate weighting information. To increase the estimation accuracy and efficiency, an improved OGWSBI algorithm based on a higher-order off-grid model and unitary transformation for off-grid coherent DOA estimation is proposed in this paper. Firstly, to reduce the approximate error of the first-order off-grid model, the steering vector is reformulated by the second-order Taylor expansion. Then, the received data is transformed from complex value to real value and the coherent signals are decorrelated via utilizing unitary transformation, which can increase the computational efficiency and restore the rank of the covariance matrix. Finally, in the real field, the steering vector higher-order approximation model and weighted sparse Bayesian inference are combined together to realize the estimation of DOA. Extensive simulation results indicate that under the condition of coherent signals and low SNR, the estimation accuracy of the proposed algorithm is about 50% higher than that of the OGWSBI algorithm, and the calculation time is reduced by about 60%.

scholarly journals Pileup corrections on higher-order cumulants

2020 ◽  
Vol 984 ◽  
pp. 164632
Author(s):  
Toshihiro Nonaka ◽  
Masakiyo Kitazawa ◽  
ShinIchi Esumi
Keyword(s):  
Higher Order ◽  
Higher Order Cumulants

Support vector machine and higher‐order cumulants based blind identification for non‐linear Wiener models

2018 ◽  
Vol 12 (6) ◽  
pp. 761-769 ◽  
Author(s):  
Xiaoping Xu ◽  
Feng Wang ◽  
Fucai Qian
Keyword(s):  
Support Vector Machine ◽  
Higher Order ◽  
Support Vector ◽  
Blind Identification ◽  
Higher Order Cumulants ◽  
Non Linear ◽  
Wiener Models

scholarly journals Higher order cumulants in colorless partonic plasma

2016 ◽  
Author(s):  
S. Cherif ◽  
M. A. A. Ahmed ◽  
M. Ladrem
Keyword(s):  
Higher Order ◽  
Higher Order Cumulants

2D DOA Estimation Using Sparse Representation of Higher-Order Power of Covariance Matrix

2014 ◽  
Vol 998-999 ◽  
pp. 779-783
Author(s):  
Zheng Luo ◽  
Fei Yu ◽  
Lin Wu ◽  
Yuan Liu
Keyword(s):  
Covariance Matrix ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Higher Order ◽  
Eigenvalue Decomposition ◽  
Coherent Signals ◽  
Sparse Decomposition ◽  
Sparse Signal Representation ◽  
2D Doa Estimation ◽  
Source Signals

A novel two-dimensional (2D) direction-of-arrival (DOA) estimation algorithm utilizing a sparse signal representation of higher-order power of covariance matrix is proposed. Through applying the higher-order power of covariance matrix to construct a new sparse decomposition vector, this algorithm avoids the estimation of incident signal number and eigenvalue decomposition. And the hierarchical granularity-dictionary is studied, which forms the over-complete dictionary adaptively in the light of source signals’ distribution. Compared with MUSIC and L1-SVD, this algorithm not only provides a better 2D DOA performance but also possesses the capability of coherent signals estimation. Theoretical analysis and simulation results demonstrate the validity and robust of the proposed algorithm.

scholarly journals New higher order cumulants for the colorless QCD-deconfinement phase transition

2018 ◽  
Author(s):  
Hind S. A. Al-Hisoni ◽  
Zainab Z. M. Alfull ◽  
Madjid L. H. Ladrem ◽  
Leila A. Almajarshi
Keyword(s):  
Phase Transition ◽  
Higher Order ◽  
Higher Order Cumulants ◽  
Deconfinement Phase Transition
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