Abstract
Minimum description length (MDL) and Akaike information criteria (AIC) are two well-known techniques for estimating (or detecting) the number of sources observed by a direction finding array. The authors argue that nether MDL nor AIC optimizes detection performance. They do so by presenting an example algorithm applicable to a cluster of closely spaced sources that can usefully detect the number of emitters at a lower signal-to-noise ratio (SNR) than either MDL or AIC, or beamspace versions of MDL or AIC. The approach is not derived from information theoretic considerations as are MDL and AIC. A theoretical expression is presented for detection threshold SNR, which shows good agreement with simulation results.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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