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6 July 1994 Optimum detection in dual-channel Gaussian data with localized interference
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Abstract
This paper derives a likelihood-ratio detector for bivariate time-series data having target- and correlated non-target-bearing components with randomly distributed, single-cell spike noise in one or both channels. After defining the detection problem explicitly, the detector is constructed as an analytic expression. A specific implementation of the approach is presented using a bivariate first-order autoregressive model for the correlation structure of the data. A computer model for the detector is constructed, and results using simulated data verify the usefulness of the approach in removing strong pike noise without damage to the target signal.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Russell E. Warren "Optimum detection in dual-channel Gaussian data with localized interference", Proc. SPIE 2235, Signal and Data Processing of Small Targets 1994, (6 July 1994); https://doi.org/10.1117/12.179089
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