Title :
The suboptimality of randomized tests in distributed and quantized detection systems
Author :
Willett, P. ; Warren, D.
Author_Institution :
Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
fDate :
3/1/1992 12:00:00 AM
Abstract :
The design of decentralized (or quantized) detection systems requires simultaneous optimization of quantizer mappings and ultimate fusion rule. It is shown that if the likelihood ratios of the unquantized (or raw) observations are independent and contain no point-masses of probability, the optimal test does not randomize; this is so despite the fact that the data to be fused can be considered discrete. The result is a considerable simplification in the design search.<>
Keywords :
optimisation; random processes; signal detection; data fusion; decentralised detection systems; design search; distributed detection systems; optimization; quantized detection systems; quantizer mappings; randomized tests; signal detection; suboptimality; ultimate fusion rule; Array signal processing; Bandwidth; Communication system security; Data security; Design optimization; Detectors; Quantization; Sensor fusion; Simultaneous localization and mapping; System testing;
Journal_Title :
Information Theory, IEEE Transactions on