Generalized low-rank decompositions with switching and adaptive algorithms for space-time adaptive processing

This work presents generalized low-rank signal decompositions with the aid of switching techniques and adaptive algorithms, which do not require eigen-decompositions, for space-time adaptive processing. A generalized scheme is proposed to compute low-rank signal decompositions by imposing suitable constraints on the filtering and by performing iterations between the computed subspace and the low-rank filter. An alternating optimization strategy based on recursive least squares algorithms is presented along with switching and iterations to cost-effectively compute the bases of the decomposition and the low-rank filter. An application to space-time interference suppression in DS-CDMA systems is considered. Simulations show that the proposed scheme and algorithms obtain significant gains in performance over previously reported low-rank schemes.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Rodrigo C. de Lamare
• Keywords: ICASSP 2011, Low-rank Signal, Low-rank Signal Decompositions, Low-rank filter, Signal Processing