Hypersensitivity effects in adaptive antenna arrays

Bull, J.F.; Arnao, M.A.; Burgess, L.R.

doi:10.1109/aps.1990.115130

Cited by 9 publications

(2 citation statements)

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“…The development so far has ignored array effects such as mutual coupling, channel mismatch or array imperfections. In a practical setting, these must be eliminated using a calibration or compensation technique [11,17,21,23,24]. In this paper, we shall show that the simple projection-based compensation method in [24] gives good performance for the D 3 algorithm under calibration error.…”

Section: Direct Data Domain (D 3 ) Algorithmmentioning

confidence: 93%

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A hybrid D

Yang¹,

Chun²,

Adve³

et al. 2007

IET International Conference on Radar Systems 2007

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The need to deal with non-homogeneous clutter has driven much of the recent research in space-time adaptive processing (STAP). This paper presents an extension of the low-complexity, sigma-delta (ΣΔ) algorithm incorporating the direct data domain (D 3 ) processing. The new algorithm is practical and improves target detection in non-homogeneous clutter environments. The algorithm employs a hybrid approach, combining D 3 processing with the more traditional statistical approach, thereby obtaining advantages of both. In this paper, first, a modified D 3 algorithm, which maximizes signal-to-interference-plus-noise ratio, is presented. Then this D 3 algorithm is used as an adaptive transformer to create sum (Σ) and difference (Δ) beams. The residual interference after the D 3 processing is further cancelled by ΣΔ STAP. The proposed hybrid algorithm using D 3 -ΣΔ STAP is tested in non-homogeneous clutter modelled using spherically invariant random variables (SIRV) and artificially injected discrete interferers. Performance of the proposed methods is compared with those of traditional statistical approaches, illustrating significant benefits of hybrid processing in non-homogeneous scenarios.

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Section: Direct Data Domain (D 3 ) Algorithmmentioning

confidence: 93%

“…The new algorithm is reformulated to maximize the signal to interference plus noise ratio (SINR) employing the forward smoothing technique [26] as well to make the method more reliable. Furthermore we adopt a projection-based method [23,24] for the D 3 algorithm to alleviate signal cancellation under calibration error.…”

Section: Introductionmentioning

confidence: 99%