The synthesis of super-resolution array through genetic algorithm using CRB

The design of a super-resolution array antenna controlled by the Cramer-Rao bound (CRB) using the genetic algorithm (GA) is demonstrated. The GA continuously optimizes the estimation error under detection and resolution conditions. The work presented in this paper focuses on optimization of array sensor locations for a class of Direction-Finding (DF) signal processing techniques known as subspace-based algorithm, and a CRB approach to synthesize the location of the sensors is introduced. Preliminary results indicate that the proposed approach can provide significant decreases in detection and resolution error.