Measurement

A Best-First Soft/Hard Decision Tree Searching MIMO Decoder for a 4×4 64-QAM System

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Chung-An Shen, et al., "A Best-First Soft/Hard Decision Tree Searching MIMO Decoder for a 4×4 64-QAM System" IEEE Transactions on Very Large Scale Integration (VLSI) Systems 20, (8), 2012, 1537. Abstract: This paper presents the algorithm and VLSI architecture of a configurable tree-searching approach that combines the features of classical depth-first and breadth-first methods. Based on this approach, techniques to reduce complexity while providing both hard and soft outputs decoding are presented. Furthermore, a single programmable parameter allows the user to tradeoff throughput versus BER

Measurement Selection: A Random Matrix Theory Approach

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Khalil Elkhalil , Student Member, IEEE, Abla Kammoun, Member, IEEE, Tareq Y. Al-Naffouri, Member, IEEE, and Mohamed-Slim Alouini , Fellow, IEEE Abstract This paper considers the problem of selecting a set of k measurements from n available sensor observations. The selected measurements should minimize a certain error function assessing the error in estimating a certain m dimensional parameter vector. The exhaustive search inspecting each of the (n) possible choices would require very high computational k complexity and as such is not practical for large n and k. Alternative methods with low