Communication DSP Algorithms, Architectures and Integrated Circuits

Spatial multiplexing multiple-input and multiple-output is an important technique for improving the transmission capacity of a communication system. The receiver must mitigate the interference between antennas and detect the transmitted symbols by processing MIMO channel matrix and detecting the constellation symbols. Our research designs hardware-oriented MIMO preprocessing and signal processing algorithms and architecture and implements by FPGA or ASIC chips. 

Research topics: Quantized Precoding for massive MIMO,

     

          Multiple-Input Multiple-Output System                                                               MIMO Mathematical Model

                                   

     MIMO Preprocessing and Detection Architecture                                                       MIMO Detector Chip


Millimeter wave (mmWave) system is an emerging transmission technique to improve the reliability and transmitted quality for the future 5G communication systems. MIMO beamforming technique can use the RF phase controller to achieve high-resolution spatial transmission channel to overcome the problems of path-loss and high-correlation of the mmWave channel. Our research focuses on hybrid RF/baseband beamforming for the mmWave MIMO systems. The DSP algorithms/processors are designed to build up the optimal RF beam-forming phase array vector and baseband MIMO precoding matrix. This approach can reduce the RF chain number and the power consumption of the analog front-end for massive MIMO systems.

Research Topics: Wideband mmWave Hybrid Beamforming, 5G Baseband Processor VLSI

        

                                  Hybrid Beamforming                                                                  Beamforming Simulation

            

                       Hybrid Beamforming Processing Architecture                                         Beamforming Processor Chip


Spatial modulation (SM) is a single-RF multiple-antenna transmission technique. The smaller RF-chain number and low detection complexity at the receiver make it an energy-efficient modulation method for the massive MIMO system. The targeted MIMO dimension amounts up to hundreds of antennas and the transmitter and receiver. Thus, our research focuses on designa and analysis of a  spatial modulation variant,  called spatial

Research Topics:  Generalized Spatial Permutation Modulation


           

                           Spatial Permutation Modulation System                                             BER Performance of Spatial Permutation Modulation