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The cooperation of an active acoustic source and a large number of distributed passive sensors offers an opportunity for active sonar detection. The system works as follows: first, each sensor compares its matched filter output with a given threshold to obtain a binary local decision - '0' or '1'; then a fusion center collects them to make a system-level inference. How effectively to combine these local results - distributed detection fusion - is the concentration of this paper. Suppose that the sensor network is unaware of the target's reflection model. Then the local detection probabilities cannot be obtained; therefore, the optimal fusion rule is unavailable.
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