Experimental antenna array calibration with artificial neural networks
Signal Processing
| Hi-index | 35.68 |
The important problem of self-calibration of phased arrays for unknown phase errors in conjunction with their use in high-resolution direction of arrival (DOA) estimation is addressed. The authors consider the canonical (and widely used) linear equispaced (LES) array with a constant but unknown phase response and develop an algorithm that does not require any a priori knowledge of the direction of arrival of a signal. Analytical results are presented regarding estimator performance that are verified by a representative body of simulations. In addition, estimator performance is compared with a constrained Cramer-Rao lower bound (CRLB)