Low complexity iterative MIMO receivers for DVB-NGH using soft MMSE and quantized log-likelihood ratios

Abstract

[ES] La tesina desarrolla un procesado de señal para receptores MIMO para el estándar TDT de nueva generación móvil DVB-NGH que explota las ganancias aportadas por la decodificación iterativa, pero además reduce considerablemente la complexidad mediante el uso de equalizadores MMSE con entradas a priori y log-likelihood ratios cuantificadas.

[EN] DVB-NGH (Digital Video Broadcasting - Next Generation Handheld) is the next generation standard of mobile TV based on the second generation of terrestrial digital television DVB-T2 (Terrestrial 2nd Generation). The introduction of multi-antenna techniques (MIMO) is a key technology to provide a significant increase in system capacity and network coverage area. The gain obtained with MIMO can be further increased with the combination of iterative decoding (exchange of extrinsic information between channel decoder and MIMO demapper) but the combination of both techniques increases considerably the receiver complexity making in some cases its real implementation inaccessible. This thesis proposes a signal processing algorithm which exploits the benefits of iterative decoding for DVB-NGH MIMO receivers but moreover significantly reduces the receiver complexity. The signal processing is based on MMSE equalization with a priori inputs and quantized log-likelihood ratios. Finally, we provide performance simulation results under mobile vehicular NGH channel model with 60 km/h to show the potential of developed algorithm.