摘要
Generalized spatial modulation (GSM), a special case of index modulation (IM), is a promising transmission scheme for the next-generation multiple-input-multiple-output (MIMO) communication network. By an encoding part of the information on the subsets of activated antennas, the GSM-MIMO is capable of achieving high energy efficiency with only a small number of radio-frequency (RF) chains. A modified computational efficient concentrated maximum likelihood (CECML) algorithm is first proposed to enable an efficient index sharing mechanism, which reduces computational complexity and facilitates parallelism for high-throughput detection. In addition, a joint subset QR preprocessing and successive interference cancellation (SIC) detection algorithm is developed to avoid matrix inversion operations in the minimum mean square error (MMSE) equalization. The proposed detector with QR preprocessing is capable of achieving near-optimal error rate performance as demonstrated by the numerical simulations. This paper also designed the GSM-MIMO detector chip based on the CECML-QRSIC algorithm for 4× 64 GSM-MIMO systems with two active antennas using TSMC 40-nm CMOS technology. The synthesis and post-layout simulation results show that the proposed GSM-MIMO detection chip achieves a better normalized throughput, hardware efficiency, and energy efficiency than a previous SM-MIMO detector chip.