On the performance of constrained adaptive algorithms for combined beamforming and AOA tracking of a moving target

In this paper, we investigate the performance of constrained adaptive algorithms in a beamforming system that is also responsible for the estimation of the angle-of-arrival (AOA) of a moving source. The merits of a number of linearly constrained adaptive algorithms are verified in an assumed far-field condition: the constrained least mean square (CLMS) algorithm, the constrained affine projection algorithm (CAPA), the constrained conjugate gradient (CCG) algorithm, and the constrained recursive least square (CRLS) algorithm. In order to have a more suitable scenario for the simulations, a fixed AOA estimation method is used and a moving target model is proposed and tested in our experiments.