The hardness of approximate optima in lattices, codes, and systems of linear equations
Journal of Computer and System Sciences - Special issue: papers from the 32nd and 34th annual symposia on foundations of computer science, Oct. 2–4, 1991 and Nov. 3–5, 1993
The soft-output m-algorithm and its applications
The soft-output m-algorithm and its applications
On the relation of MIMO APP detection and SIMO maximum ratio combining
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Soft-output sphere decoding: algorithms and VLSI implementation
IEEE Journal on Selected Areas in Communications
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We present an algorithm which is a flexible and scalable trade-off both in complexity and performance between unbiased MMSE and Max-Log-APP MIMO detection. In a first step, LLRs are generated based on linear detection (Max-Log per stream). A predefined number of LLRs is chosen as 'reliable' based on LLR magnitude. For the remaining 'unreliable' subspace we compute the joint Max-Log-APP solution. The algorithm contains unbiased MMSE detection as well as full Max-Log-APP detection as special cases and is suited for iterative detection-decoding.