Adaptive nonlinear suppression of interference

A signal processing technique designed to suppress interference in direct sequence spread spectrum receiving systems is described. The basic idea is to optimize the detection process dynamically in the presence of current interference. This is accomplished by estimating the statistics of the interference and then using this information to derive a nonlinear transform to apply to the signal-plus-noise. As the statistics of the interference change, the measured distributions and the resulting transformations do so also. This adaptation is open-loop, thus avoiding convergence problems. It is concluded that large improvements (tens of dB) can be achieved for a wider range of interference modulations than can be handled by any previously realized technique known to the author.<
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