Knowledge-aided adaptive beamforming

@article{Zhu2008KnowledgeaidedAB,
  title={Knowledge-aided adaptive beamforming},
  author={Xumin Zhu and Jian Li and Petre Stoica},
  journal={2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2008},
  pages={2337-2340}
}
In array processing, when the available snapshot number is comparable with or even smaller than the sensor number, the sample covariance matrix R is a poor estimate of the true covariance matrix R. To estimate R more accurately, we can make use of prior environmental knowledge, which is manifested as knowing an a priori covariance matrix R0. In this paper, we consider both modified general linear combinations (MGLC) and modified convex combinations (MCC) of the a priori covariance matrix R0… CONTINUE READING