genetic doa estimation in sparse mimo systems for localization of rescuers
"Cooperative Localization" of rescue entities (persons and means) is essential in emergency situations. The identification of the Direction of Arrival (DoA) of the different users can simplify the knowledge of the position of users improving advanced cooperative localization methods and the global network management. DoA techniques can be applied by using antenna array systems. In literatures many efforts are focused on the optimization problem for antenna array with elements uniformly spaced at integer multiples of a suitably chosen basic spacing. Antenna array with non uniformly spaced elements (sparse array) are interesting but the unequally spaced positions of elements lead to a nonlinear optimization problem. In the paper, an integration of evolutionary techniques, such as genetic algorithms (GAs) with the use of antenna array systems is analyzed to optimally identify the DoA signals in different antenna configurations. Results are also provided for the case of sparse array with elements randomly placed in a specific region of space.
direction of arrival (doa) antenna array genetic algorithms multiple antenna systems (mimo)