Abstract
The performance of direction of arrival (DOA) estimation using antenna arrays is fundamentally determined by the array configuration through its influence on the Cramer-Rao bound (CRB). Thus, antenna selection strategies may be employed to reduce computational and hardware cost while optimizing the DOA estimation performance. This is done by choosing the optimal subarray that minimizes the CRB for a particular DOA or range of DOAs. However, the cost of solving this optimization problem is quite high. In this paper, we study the symmetries of the cost function that is used in implementing the antenna selection for enhanced DOA estimation in order to gain significant insights into the structure of the problem and consequently achieve significant reduction in complexity. In particular, we derive a group of transformations under which the cost function is invariant. This group then allows us to reduce the domain over which the optimization problem is to be solved.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
