DETECTION IMPLICATIONS OF COMBINING CONVENTIONAL AND ADAPTIVE BEAMFORMING

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Authors
  1. Swingler, D.N.
Corporate Authors
Defence Research Establishment Atlantic, Dartmouth NS (CAN);Saint Mary's Univ, Halifax NS (CAN) Div of Engineering
Abstract
The convergence behaviours of various minimum-variance adaptive line-array beamformers in highly dynamic narrowband scenarios are compared through numerical simulations. It is demonstrated that the normalised least-mean-squares algorithm is, in general, the least effective, although under a single well-defined scenario its convergence performance is exceptional. It is further demonstrated that weight updating of poorly performing beamformers improves their overall performance, and that a hybrid beamformer which subsumes the individual beamformers under test has a behaviour which is close to optimum under all circumstances. The issue of adaptive beamforming in multipath situations is discussed and the advantages of decorrelation by straightforward spatial-smoothing and array-reveral methods are demonstrated by simulation and analysis. In non-multipath scenarios, some simple steady-state detection statistics (e.g. output SNR, deflection factor) are computed. Finally, the issue of computational load is briefly addressed.
Keywords
TRANSIENT SOURCES
Report Number
DREA-CR-95-424 — Contractor Report
Date of publication
01 Apr 1995
Number of Pages
94
DSTKIM No
96-00501
CANDIS No
153518
Format(s):
Document Image stored on Optical Disk;Hardcopy

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