A general criterion for the design of adaptive systems
in digital communications called the statistical reference criterion
is proposed. The criterion is based on imposition of the probability
density function of the signal of interest at the output
of the adaptive system, with its application to the scenario of
highly powerful interferers being the main focus of this paper.
The knowledge of the pdf of the wanted signal is used as a
discriminator between signals so that interferers with differing
distributions are rejected by the algorithm. Its performance is
studied over a range of scenarios. Equations for gradient-based
coefficient updates are derived, and the relationship with other
existing algorithms like the minimum variance and the Wiener
criterion are examined.
CitationSala Álvarez, J.; Vázquez Grau, G. Statistical reference criteria for adaptive signal processing in digital communications. IEEE Transactions on Signal Processing, 1997, vol. 45, núm. 1, p. 14-31.
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