Reception of coherent signals with steering vector restoral beamformer

Lee, Ta-Sung; Lin, Tsui-Tsai

doi:10.1016/s0165-1684(98)00174-1

Cited by 6 publications

(5 citation statements)

References 7 publications

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“…which let the designer to obtain hM and the same possible filters as in (10) up to a scaling factor using ρ = N /(1 + N ). With this notation we have that ρ = 0 corresponds to = 0, and hence we refer to the solution as the inverse filter or hI .…”

Section: Inverse Fir Filteringmentioning

confidence: 99%

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Robust beamforming via FIR filtering for GNSS multipath mitigation

Mañosas-Caballú

Swindlehurst

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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This paper addresses the problem of multipath mitigation with GNSS antenna arrays. A beamformer that is able to cancel the multipath components regardless of their relative delay and directions of arrival is proposed. The weights are obtained from a set of spatial correlation matrices that allows us to estimate the multipath subspace. These matrices are generated after a FIR filter that reduces the correlation between the multipath components and the line-of-sight signal, and it is only used for spatial processing. Some representative simulation results show the multipath attenuation provided by the proposed method under different conditions.

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Section: Inverse Fir Filteringmentioning

confidence: 99%

“…Some robust methods for highly correlated signals have been proposed, e.g. [4][5][6][7][8][9][10][11][12], but they present certain limitations.…”

Section: Introductionmentioning

confidence: 99%

Robust beamforming via FIR filtering for GNSS multipath mitigation

Mañosas-Caballú

Swindlehurst

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…However, this beamformer is feasible only when the desired signal and the uncorrelated interferences are non-Gaussian and Gaussian, respectively. In recent years, several beamformers for coherent signal reception have been proposed [6][7][8]. Though using different approaches, these beamformers all require to estimate the DOA's of the coherent interferers.…”

Section: Introductionmentioning

confidence: 99%

New beamformer for coherent signal reception in the presence of uncorrelated interferences

Zhao

Shui

2009

2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications

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In this paper, a new beamformer is proposed for coherent signal reception with the assumption that the directions-of-arrival (DOA's) of the uncorrelated interferers are available. Here, the composite vector of the coherent sources is first estimated based on the use of a transformation matrix to eliminate the uncorrelated interferers. Then the optimum beamforming is performed based on the estimated composite vector and the eigenstructure of the array correlation matrix. Experimental results show that the proposed beamformer achieves the optimum performance and rapidly converges.

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“…By constructing a steering matrix with each column corresponding to the steering vector of a selective beam and a constraint vector with each entry equal to the gain of a beam, [10] proposes an adaptive array beamformer with multiple-beam constraints, although the details of obtaining the constraint vector are not discussed. A beamforming scheme, consisting of three steps, is developed for the reception of multiple coherent signals in [11]. Here, estimates of the coherent source directions are used to restore the composite steering vector (CSV).…”

Section: Introductionmentioning

confidence: 99%

Adaptive multiple-beamformers for reception of coherent signals with known directions in the presence of uncorrelated interferences

Zhang

et al. 2004

Signal Processing

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Abstract:Two novel adaptive multiple-beamformers for reception of coherent signals with known directions-of-arrival (DOAs) in the presence of uncorrelated interferences are proposed. The first approach is a two-step solution as follows: estimate the amplitudes of all the coherent signals using a subspace method and then construct the linearly constrained minimum variance beamformer from the generalized array manifold.The second approach applies multiple linear constraints determined from the DOAs of the coherent signals to develop a minimum variance beamformer, which can achieve efficient signal utilization. To cope with performance degradation due to sample covariance errors, DOA estimation errors and other array imperfections, the eigenstructure of the covariance matrix is exploited to improve the performance of the proposed approaches by constraining the weight vector in the signal subspace. Simulation results are presented which compare the performance of the proposed algorithms with that of the minimum mean square error approach.

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Reception of coherent signals with steering vector restoral beamformer

Cited by 6 publications

References 7 publications

Robust beamforming via FIR filtering for GNSS multipath mitigation

Robust beamforming via FIR filtering for GNSS multipath mitigation

New beamformer for coherent signal reception in the presence of uncorrelated interferences

Adaptive multiple-beamformers for reception of coherent signals with known directions in the presence of uncorrelated interferences

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