Title :
Signal detection games with power constraints
Author :
Sauder, Douglas W. ; Geraniotis, Evaggelos
Author_Institution :
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
fDate :
5/1/1994 12:00:00 AM
Abstract :
Formulates and solves maximin and minimax detection problems for signals with power constraints. These problems arise whenever it is necessary to distinguish between a genuine signal and a spurious one designed by an adversary with the principal goal of deceiving the detector. The spurious (or deceptive) signal is subject to certain constraints, such as limited power, which preclude it from replicating the genuine signal exactly. The detection problem is formulated as a zero-sum game involving two players: the detector designer and the signal designer. The payoff is the probability of error of the detector, which the detector designer tries to minimize and the deceptive signal designer to maximize. For this detection game, saddle point solutions-whenever possible-or otherwise maximin and minimax solutions are derived under three distinct constraints on the deceptive signal power; these distinct constraints involve lower bounds on (i) the signal amplitude, (ii) the time-averaged power, and (iii) the expected power. The cases of independent and identically distributed and correlated signals are considered
Keywords :
error statistics; game theory; minimax techniques; signal detection; signal processing; correlated signals; deceptive signal; detection problem; detector designer; expected power; genuine signal; maximin detection problems; minimax detection problems; player; power constraints; probability of error; saddle point solutions; signal amplitude; signal designer; spurious signal; time-averaged power; zero-sum game; Additive noise; Detectors; Minimax techniques; Noise robustness; Probability distribution; Radar detection; Signal design; Signal detection; Signal processing; Testing;
Journal_Title :
Information Theory, IEEE Transactions on