Robust beamforming methods for multipath signal reception

Yu, Li; Liu, Wei; Langley, Richard J.

doi:10.1016/j.dsp.2009.08.010

Cited by 18 publications

(4 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the above formula, , which is called the composite steering vector, contains multipath component parameter information [ 23 ]. D n ( t ) is the navigation message transmitted by the n th satellite, is the array signal after correlation processing, and is the noise generated in the correlation.…”

Section: Multipath Suppression Methodsmentioning

confidence: 99%

GNSS multipath suppression technology based on postcorrelation and independent component analysis

Ding

2022

PLoS ONE

View full text Add to dashboard Cite

In urban and other complex environments, satellite navigation signals are vulnerable to multipath interference, especially medium- and short-delay multipath interference, which seriously affects the positioning accuracy. Aiming at the problem that the effect of traditional methods on medium and short multipath suppression is not obvious and it is difficult to accurately estimate the direction of arrival (DOA) when beamforming is used, a multipath suppression scheme based on a postcorrelation and independent component analysis (ICA) algorithm is proposed in this paper. First, the satellite navigation signal on each array element is despread and demodulated by postcorrelation technology to improve the signal-to-noise ratio (SNR), and then the direct signal component is directly extracted by the ICA algorithm to filter the noise while suppressing the multipath interference. Simulation results show that this method can effectively suppress medium and short multipath interference when the SNR of satellite navigation signals is as low as -30 dB, significantly improve the SNR of navigation messages and reduce the bit error rate, which provides a new solution for global navigation satellite system (GNSS) multipath suppression.

show abstract

Section: Multipath Suppression Methodsmentioning

confidence: 99%

GNSS multipath suppression technology based on postcorrelation and independent component analysis

Ding

2022

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…In reference [32], an adaptive weight vector was obtained for coherent signal receiving based on the composite steering vector of coherent multipath signals estimated by utilizing the transformation matrix which was constructed by the DOA of uncorrelated interference. Two beamforming algorithms were present in [33] with forcing the array responses to the pre-estimated angle clusters of the coherent multipath signal no less than unity while minimising the output power. A coherent beamforming method was proposed in [34] with the multiple coherent signals' DOA information known, which optimized the covariance matrix and constrained the beam mainlobe magnitude of multiple coherent signals to obtain the optimal weight vector.…”

Section: Introductionmentioning

confidence: 99%

An Oblique Projection-Based Beamforming Method for Coherent Signals Receiving

Guo

Zhang

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

Within a complex sea or ground surface background, multipath signals are strongly correlated or even completely coherent, which leads to signal cancellation when conventional optimal beamforming is performed. Aiming at the above problem, a coherent signal-receiving algorithm is proposed based on oblique projection technology in this paper. The direction of arrival (DOA) of incident signals is estimated firstly by the space smoothing-based MUSIC method. The composite steering vector of multipath coherent signals is then obtained utilizing the oblique projection matrix constructed with the estimated angles. The weight vector is thereby derived with the minimum variance distortionless response criteria. The proposed oblique projection-based beamformer can receive the multipath coherent signals effectively. Moreover, the proposed beamformer is more robust and converges to optimal beamformer rapidly without aperture loss. The theoretical analysis and simulation verify the validity and superiority of the proposed coherent signal beamformer.

show abstract

“…Adaptive beamforming is a well concerned research topic of array signal processing, with wide spread applications in radar, sonar signal processing and other fields [1][2][3][4][5][6]. Traditional beamforming mainly depends on the prior information about the array manifold and desired signals to form a sharper beam for the suppression of interferences and noise [7,8].…”

Section: Introductionmentioning

confidence: 99%

Doubly Covariance Matrix Reconstruction Based Blind Beamforming for Coherent Signals

Xie

Fan

Zhu

et al. 2020

Sensors

View full text Add to dashboard Cite

This paper proposes a beamforming method in the presence of coherent multipath arrivals at the array. The proposed method avoids the prior knowledge or estimation of the directions of arrival (DOAs) of the direct path signal and the multipath signals. The interferences are divided into two groups based on their powers and the interference-plus-noise covariance matrix (INCM) is reconstructed through the doubly covariance matrix reconstruction concept. The composite steering vector (CSV) that accounts for the direct path signal and multipath signals is estimated as the principal eigenvector of the sample covariance matrix with interferences and noise removed. The optimal weight vector is finally computed using the INCM and the CSV. The proposed method involves no spatial smoothing and avoids reduction in the degree of freedom. Simulation results demonstrate the improved performance of the proposed method.

show abstract

Robust beamforming methods for multipath signal reception

Cited by 18 publications

References 25 publications

GNSS multipath suppression technology based on postcorrelation and independent component analysis

GNSS multipath suppression technology based on postcorrelation and independent component analysis

An Oblique Projection-Based Beamforming Method for Coherent Signals Receiving

Doubly Covariance Matrix Reconstruction Based Blind Beamforming for Coherent Signals

Contact Info

Product

Resources

About