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Robust detection of known signals

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2 Author(s)

The problem of detection of known signals in additive noise is solved under the assumption that the unknown noise density is a member of some known family of symmetric densities. A general approach to the design of receivers that are asymptotically most robust is established. As an example, a detector is derived by applying the procedure to the special case obtained when the noise density family is defined by F=\left\{ f \Bigg| \int^{a}_{-a} f(x) dx = p, f \hbox{ symmetric } \right\}. Simulation results showing the detector's performance for small sample sizes are provided.

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Information Theory, IEEE Transactions on  (Volume:23 ,  Issue: 6 )