Lattice-Reduction-Aided K-Best MIMO detector based on the channel matrix condition number

It is known that MIMO detectors performance is highly influenced by the channel matrix condition number. An efficient way to decrease the channel matrix condition number is the use of Lattice Reduction techniques. In this paper a Lattice-Reduction-Aided (LRA) K-Best detector based on the channel matrix condition number is proposed for improving the performance of conventional K-Best algorithm. This approach leads to a preprocessing complexity reduction of the LRA K-Best detector with marginal loss in the performance. The performance of the proposed detector based on condition number depending on the chosen LR method (LLL or Seysen's) is also evaluated.