The SC-MMSE turbo MIMO equalizer with reduced complexity decoding algorithms

The research results of reduced complexity turbo equalizer study are presented. The SC-MMSE equalizer includes serial intersymbol canceller and multiple input multiple output MMSE filter in its structure. The three different soft input soft output (SISO) decoding algorithms with different code types are evaluated. The soft output Viterbi algorithm (SOVA) with convolution codes, the soft output Chase algorithm with block codes and multidimensional single parity check soft output decoder are implemented in the turbo equalizer simulator. The comparison of equalizer performance with different SISO algorithms shows that substantial complexity and power consumption reduction could be achieved with SISO Chase and multidimensional parity check decoding that could provide system performance quite close to the optimum algorithms. The multidimensional parity check decoder provides a large number degrees of freedom for the system designer that could be exploited efficiently together with reduced complexity, robustness and lower power consumption in wireless communication systems.