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Sphere Decoding (SD) is a highly effective detection technique for Multiple-Input Multiple-Output (MIMO) wireless communications receivers, offering quasi-optimal accuracy with relatively low computational complexity as compared to the ideal ML detector. Despite this, the computational demands of even low-complexity SD variants, such as Fixed Complexity SD (FSD), remains such that implementation on...
This paper presents a prototype of a high-throughput 4 × 4 64-QAM MIMO receiver consisting of a channel matrix QR decomposition, a soft-output K-Best MIMO detector and a Convolutional Turbo Code decoder. The proposed MIMO receiver provides low processing latency and a pipelined architecture scalable to a larger number of antennas and constellation order. Therefore, it is suitable for LTE-Advanced...
Multiple Input Multiple Output (MIMO) system is a key technology for future high speed wireless communication standards like 802.11n, WIGWAM, and WiMax. These standards require support for multiple modulation and coding schemes. Hence, the receiver hardware should be able to accomodate these schemes preferably on a single reconfigurable architecture. Current MIMO detector implementations are constrained...
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