Publication

Algorithm and VLSI architecture for linear MMSE detection in MIMO-OFDM systems

Andreas Peter Burg
2006
Conference Papers

Abstract

The paper describes an algorithm and a corresponding VLSI architecture for the implementation of linear MMSE detection in packet-based MIMO-OFDM communication systems. The advantages of the presented receiver architecture are low latency, high-throughput, and efficient resource utilization, since the hardware required for the computation of the MMSE estimators is reused for the detection. The algorithm also supports the extraction of soft information for channel decoding.

Official source

https://infoscience.epfl.ch/entities/publication/1c683ebb-bf74-40e4-8a70-96c53effdd16

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Andreas Peter Burg
2006
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/1c683ebb-bf74-40e4-8a70-96c53effdd16

About this result

Related concepts (19)

MIMO

In radio, multiple-input and multiple-output (MIMO) (ˈmaɪmoʊ,_ˈmiːmoʊ) is a method for multiplying the capacity of a radio link using multiple transmission and receiving antennas to exploit multipath propagation. MIMO has become an essential element of wireless communication standards including IEEE 802.11n (Wi-Fi 4), IEEE 802.11ac (Wi-Fi 5), HSPA+ (3G), WiMAX, and Long Term Evolution (LTE). More recently, MIMO has been applied to power-line communication for three-wire installations as part of the ITU G.

Orthogonal frequency-division multiplexing

In telecommunications, orthogonal frequency-division multiplexing (OFDM) is a type of digital transmission used in digital modulation for encoding digital (binary) data on multiple carrier frequencies. OFDM has developed into a popular scheme for wideband digital communication, used in applications such as digital television and audio broadcasting, DSL internet access, wireless networks, power line networks, and 4G/5G mobile communications. OFDM is a frequency-division multiplexing (FDM) scheme that was introduced by Robert W.

Estimation theory

Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value affects the distribution of the measured data. An estimator attempts to approximate the unknown parameters using the measurements.

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