[go: up one dir, main page]

Li et al., 2023 - Google Patents

Robust adaptive beamforming method based on steering vector phase correction and covariance matrix reconstruction

Li et al., 2023

Document ID
9410862273594437482
Author
Li W
Qu X
Yang X
Han B
Zhang Z
Fathy A
Publication year
Publication venue
IEEE Communications Letters

External Links

Snippet

Steering vector (SV) mismatch caused by the DOA uncertainty in the source leads to a remarkable performance degradation for adaptive beamforming particularly in situation where the training data includes an unknown expected signal (ES) component. To mitigate …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • H—ELECTRICITY
    • H01—BASIC ELECTRIC ELEMENTS
    • H01Q—AERIALS
    • H01Q3/00—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an aerial or aerial system
    • H01Q3/26—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an aerial or aerial system varying the relative phase or relative amplitude of energisation between two or more active radiating elements; varying the distribution of energy across a radiating aperture
    • H01Q3/2605—Array of radiating elements provided with a feedback control over the element weights, e.g. adaptive arrays
    • H—ELECTRICITY
    • H01—BASIC ELECTRIC ELEMENTS
    • H01Q—AERIALS
    • H01Q3/00—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an aerial or aerial system
    • H01Q3/26—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an aerial or aerial system varying the relative phase or relative amplitude of energisation between two or more active radiating elements; varying the distribution of energy across a radiating aperture
    • H01Q3/30—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an aerial or aerial system varying the relative phase or relative amplitude of energisation between two or more active radiating elements; varying the distribution of energy across a radiating aperture varying the relative phase between the radiating elements of an array
    • H01Q3/34—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an aerial or aerial system varying the relative phase or relative amplitude of energisation between two or more active radiating elements; varying the distribution of energy across a radiating aperture varying the relative phase between the radiating elements of an array by electrical means
    • H—ELECTRICITY
    • H01—BASIC ELECTRIC ELEMENTS
    • H01Q—AERIALS
    • H01Q21/00—Aerial arrays or systems
    • H01Q21/24—Combinations of aerial elements or aerial units polarised in different directions for transmitting or receiving circularly and elliptically polarised waves or waves linearly polarised in any direction

Similar Documents

Publication Publication Date Title
Shen et al. Robust adaptive beamforming based on steering vector estimation and covariance matrix reconstruction
Zhang et al. Robust adaptive beamforming based on conjugate gradient algorithms
CN109738854B (en) Arrival angle estimation method for arrival direction of antenna array
CN109407055B (en) Beamforming method based on multipath utilization
Li et al. Robust Adaptive Beamforming Method Based on Steering Vector Phase Correction and Covariance Matrix Reconstruction
Wang et al. Adaptive beamforming with compressed sensing for sparse receiving array
Mallipeddi et al. Robust adaptive beamforming based on covariance matrix reconstruction for look direction mismatch
Zhang et al. Sidelobe suppression for adaptive beamforming with sparse constraint on beam pattern
Li et al. Robust adaptive beamforming based on particle filter with noise unknown
CN111257863B (en) High-precision multipoint linear constraint self-adaptive monopulse direction finding method
US11374636B2 (en) System and method for nullforming with anti-jam antenna electronics
Lu et al. Robust widenull anti-jamming algorithm for high dynamic GPS
CN108761402A (en) Steady low-sidelobe beam forming method based on Minimum square error
Hu et al. Adaptive beamforming based on compressed sensing with gain/phase uncertainties
Li et al. Robust adaptive beamforming for distributed radar based on covariance matrix reconstruction and steering vector estimation
Ravishankar et al. A rapid direction of arrival estimation procedure for adaptive array antennas covered by a shaped dielectric lens
Papari et al. Robust adaptive beamforming algorithm based on sampling function neural network
Shi et al. Doubly weighted average algorithm for DOA estimation on UCA with array failure
Gong et al. Robust adaptive beamforming for antenna sensor array based on the reconstruction shrinkage method
Lu et al. Adaptive bayesian beamforming with sidelobe constraint
He et al. Performance Analysis and Improvement of Constrained Adaptive Monopulse Approach
Luo et al. Researchment of mainlobe anti-jamming algorithms
Hu et al. Robust adaptive beamforming using interference covariance matrix reconstruction
Ahmad et al. A robust adaptive beamforming algorithm based on LSCMA
Qian et al. Null broadening adaptive beamforming based on semidefinite programming