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Parametric methods of clutter characterisation require assumptions and models that may only be approximations or may change over time. Nonparametric methods are free from these constraints and can, therefore, be used in a wider range of situations. However, most, including the Wdcoxon test, require independent, identically distributed data - a condition that may not be met in the time domain. In this paper, a new scheme for detecting targets in clutter in the frequency domain, based on the Conditional Wdcoxon test, is proposed. Simulation results are compared to a standard Wilcoxon test-based detector and reveal a large improvement in performance. Previously, conditional tests have only been used to reduce computational costs. We can now demonstrate that conditional tests are capable of greatly increasing detection performance.

Nonparametric Detection in the Frequency Domain Using the Conditional Wilcoxon Test