Efficient signal detection in perturbed arrays

Anil M. Rao, Douglas L Jones

Research output: Contribution to conferencePaperpeer-review


The use of sensor arrays in signal processing applications has received considerable attention. Various array perturbations caused by phase, calibration, or modelling errors often cause the sensor observations to become only partially correlated, limiting the application of traditional matched-field beamformers. Quadratic array processing is optimal for many randomly perturbed array problems; however, direct implementation poses a significant computational burden. We propose a highly efficient, asymptotically optimal method of implementing quadratic array processors suitable for detection problems in randomly perturbed arrays. Specifically, we show that under certain conditions the optimal array processor can be approximately realized efficiently and robustly employing only discrete Fourier transforms to deal with spatial processing while entailing only a small loss in performance.

Original languageEnglish (US)
Number of pages5
StatePublished - 2000
EventProceedings of the 10th IEEE Workshop on Statiscal and Array Processing - Pennsylvania, PA, USA
Duration: Aug 14 2000Aug 16 2000


ConferenceProceedings of the 10th IEEE Workshop on Statiscal and Array Processing
CityPennsylvania, PA, USA

ASJC Scopus subject areas

  • Engineering(all)


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