An adaptive beamforming scheme for cooperative wireless networks
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Robust nonlinear power iteration algorithm for adaptive blind separation of independent signals
Digital Signal Processing
| Hi-index | 35.68 |
Many multiple-input multiple-output (MIMO) applications require the computation of some or all of the nonzero singular values and the corresponding left and right singular vectors of a time-varying channel response matrix. An adaptive algorithm is derived to achieve this goal, based on a first-order perturbation, which updates a full or partial singular value decomposition (SVD) using input and noisy output vectors. The updates can be computed recursively, resulting in a highly efficient algorithm that has lower complexity than the earlier least-mean-square (LMS)-based algorithm and achieves better performance at low signal-to-noise ratio (SNR). The performance is demonstrated using measured MIMO channel data obtained in an urban microcellular environment.