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Lattice reduction aided multiple-input and multiple output (MIMO) detection has attracted significant attention recently due to its low complexity and excellent error rate performance. The most popular lattice reduction algorithms are the Lenstra-Lenstra-Lovász algorithm and Seysen's algorithm, although the former has received much more attention than the latter. In this work, we present a simplification...
The latest multiple-input multiple-output (MIMO) wireless systems have adopted iterative detection and decoding (IDD) to reduce the signal-to-noise ratio (SNR) required fora reliable transmission. An IDD system consists of a soft-in soft-out (SISO) detector to cancel interference, and a SISO forward-error correction (FEC) decoder to remove errors. The two blocks exchange soft information to improve...
A configurable, channel-adaptive K-best MIMO detector for multi-mode wireless communications that adapts computation to varying channel conditions to achieve high energy-efficiency is presented. An 8-stage configurable MIMO detector supporting up to a 4×4 MIMO array and BPSK to 16-QAM modulation schemes has been implemented and simulated in 0.80V, 22nm Tri-gate CMOS process. Dynamic clock gating and...
There are, in practice, so many control systems possesses this kind of special feature, e.g., ballistic missile's maneuver couples with wind gusts, acceleration signal measured by accelerometers couples with the external and internal noises, and so on. Generally, the input signal u(k) is always assumed as an exactly known variable and never corrupted with noise; hence one is capable of dealing with...
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