The detection of fully and partially defective sensors in a lineararray composed of N sensors is addressed. First, the symmetrical structure of a lineararray is proposed. Second, a hybrid technique based on the cult...
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The detection of fully and partially defective sensors in a lineararray composed of N sensors is addressed. First, the symmetrical structure of a lineararray is proposed. Second, a hybrid technique based on the cultural algorithm with differential evolution is developed. The symmetrical structure has two advantages： （1） Instead of finding all damaged patterns, only （N-1）/2 patterns are needed; （2） We are required to scan the region from 0° to 90°instead of from 0° to 180°. Obviously, the computational complexity can be reduced. Monte Carlo simulations were carried out to validate the performance of the proposed scheme, compared with existing methods in terms of computational time and mean square error.
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