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The LLL algorithm developed by Lenstra, Lenstra, and Lovász has been widely studied to improve the conditioning of linear systems of equations that arise in multi-input multi-output (MIMO) antenna systems. In the first part of this correspondence, we show how a certain class of matrices can be transformed so that the LLL algorithm can be carried out efficiently, without compromising its performance...
In this paper we propose low complexity optimum transmit antenna selection algorithms for wireless spatial multiplexing (SM) systems. Antenna selection with less radio frequency (RF) chains could significantly reduce the system cost and power consumption. Antenna selection criteria such as maximum minimum signal to interference plus noise ratio (SINR) and MMSE require computation of matrix inverse...
Recently, a novel method for blind channel equalization based on the truncation of the covariance matrix has been proposed. Despite having interesting properties, more specifically its low complexity through adaptive implementation and its robustness to channel over-modeling, this method, is based on zero delay equalization thus yielding non satisfactory results in case the first channel coefficient...
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