An adaptive order statistic (AOS) detector is proposed which acts as an order statistic detector but whose parameter k is chosen according to the outcome of a hypothesis test that attempts to detect the presence of a clutter power transition within each reference window. The AOS detector is analyzed in exponentially distributed stationary clutter, and it is shown that it is indeed a constant-false-alarm-rate detector. Furthermore, the improvement in the false-alarm rate that can be achieved by using a properly designed AOS detector is demonstrated by means of computer simulations.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Gandhi et al. (1989) studied this question.
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