Employing the technique of transform domain filtering described in Part I of this paper, a system is presented to detect a binary spread-spectrum signal embedded in a wide-band, stationary, colored Gaussian noise process. Using a specific example of a colored noise process, the performance of the system is analyzed. In addition, a specific technique using surface acoustic wave devices is presented which allows the estimation of the spectral density of the interference when such information is initially unknown.
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Milstein et al. (1983) studied this question.
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