Sidelobe reduction using random methods for antenna arrays

Smith, M.S.; Tan, Tianhan

doi:10.1049/el:19830636

Cited by 3 publications

(1 citation statement)

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“…Define a 2MN × K matrix S, and assume all the elements in S are determined with B(i, j) as the probability distribution function, namely the value at (i, j) depends on B(i, j). Let S(i, j) be the function at (i, j) of matrix S whose definition is represented as follows [24]…”

Section: The Random Nyström Methodsmentioning

confidence: 99%

Random Nyström Approach to Clutter Subspace Estimation for Polarimetric Space-Time Adaptive Processing

et al. 2020

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A random Nyström (R-Nyström) scheme for clutter subspace estimation is proposed in the context of polarimetric space-time adaptive processing (pSTAP). Unlike the standard Nyström scheme making use of only partial columns of the clutter plus noise covariance matrix (CNCM), R-Nyström exploits full CNCM information with a properly designed selection procedure under the newly developed random ridge cross leverage score (RRCLS) criterion. With R-Nyström, sup-ported by the complete CNCM columns, upgraded clutter subspace estimation can be achieved at the expense of an insignificant increase in computational complexity, in contrast to the standard Nyström. The R-Nyström-based pSTAP, termed pR-Nyström, is shown to be superior over the current eigendecomposition-free subspace pSTAP in the signal to clutter plus noise loss and computational complexity. The efficacy of R-Nyström/pR-Nyström is validated by the simulation results.

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Section: The Random Nyström Methodsmentioning

confidence: 99%