We present adaptive strategies for antenna selection for Direction of Arrival (DoA) estimation of a far-field source using TDM MIMO radar with linear arrays. Our treatment is formulated within a general adaptive sensing framework that uses one-step ahead predictions of the Bayesian MSE using a parametric family of Weiss-Weinstein bounds that depend on previous measurements. We compare in simulations our strategy with adaptive policies that optimize the Bobrovsky- Zaka{\i} bound and the Expected Cram\'er-Rao bound, and show the performance for different levels of measurement noise.
@article{arxiv.1704.03345,
title = {Adaptive channel selection for DOA estimation in MIMO radar},
author = {David Mateos-Núñez and María A. González-Huici and Renato Simoni and Stefan Brüggenwirth},
journal= {arXiv preprint arXiv:1704.03345},
year = {2017}
}
Comments
Submitted to the 25th European Signal Processing Conference (EUSIPCO), 2017