Parallel MIMO detection algorithm based on householder transformation

A parallel MIMO detection algorithm (HPD) based on Householder transformation is proposed to improve the high bit error performance when the sorted QR decomposition detection algorithm (SQRD) is detected in Rayleigh slow fading channel. It transforms the channel matrix columns orthogonally based on Householder transformation to avoid solving the upper triangular matrix and sorts the channel matrix only once. In the processing of judging signal, it proposes a parallel processing of judged signal´s feedback and received signal´s interference cancellation, so the detection performance is improved distinctly. Under the environment of multiple scattering wireless communications, the simulation experiment results show that compared to the sorted QR decomposition algorithm, the complexity of the HPD algorithm is reduced dramatically.