2003
DOI: 10.1109/tap.2003.812237
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Beamforming and interference canceling with very large wideband arrays

Abstract: Abstract-Future radio telescopes are envisioned to be beamforming arrays containing hundreds to millions of elements distributed over thousands of km 2 , with bandwidths that are 10% or more of the RF center frequency. It is awkward to analyze such systems using traditional narrowband beamforming theory. This paper presents a frequency-domain model that includes relevant features such as true time delay, distributed doppler effects, and nonideal instrumental frequency response. Conventional beamforming-i.e., m… Show more

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Cited by 25 publications
(17 citation statements)
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References 9 publications
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“…The signal covariance estimate is given by (15) Note that is not square and, therefore, is not strictly a projection matrix. This also requires a modification to the projection bias removal (9), so for SPA, we define (16)…”
Section: Subspace Projection With Auxiliary Antennas (Spa)mentioning
confidence: 99%
See 3 more Smart Citations
“…The signal covariance estimate is given by (15) Note that is not square and, therefore, is not strictly a projection matrix. This also requires a modification to the projection bias removal (9), so for SPA, we define (16)…”
Section: Subspace Projection With Auxiliary Antennas (Spa)mentioning
confidence: 99%
“…The following results consider only sky signal and finite sample errorinduced bias terms in the short-term integration interference subspace estimates used to compute and . Projection bias in due to nonorthogonality of and is a separate matter that can arise even with perfect interference subspace estimation and is countered by the bias correction step of (9). On the other hand, compensating for subspace estimation bias is problematic because the filter matrices will not effectively block the interference, and this cannot be corrected by (9).…”
Section: Subspace Estimation Accuracy For Sp and Csp Algorithmsmentioning
confidence: 99%
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“…This form of array processing provides relevant improvements in anti-interference performance which has been widely applied in numerous fields, such as military radar, communication, medical imaging, and navigation in decades [1][2][3][4][5][6]. A large scale of adaptive array is commonly utilized to obtain better resolution and interference cancellation performance, which results to the consequence that the computational load becomes the bottleneck in the implementation of an adaptive beamforming algorithm.…”
Section: Introductionmentioning
confidence: 99%