2011
DOI: 10.1002/dac.1347
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Suboptimal particle filtering for MIMO flat fading channel estimation

Abstract: SUMMARY Particle filters have been successfully employed to track MIMO flat fading channels for wireless communications. However, an optimal importance density cannot be always found to optimize the performance of a particle filter. A suboptimal importance density such as the prior distribution can be used to reduce the complexity of the particle filtering; however, it has a problem of ignoring the current observations. A class of suboptimal particle filters uses the prior distribution as the important density… Show more

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Cited by 5 publications
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“…The most known form is vertical‐BLAST , which causes high level of interchannel interference (ICI). In recent years, lots of new methods and techniques about MIMO systems are developed as in especially on relay networks, code division multiple access, vertical‐BLAST and orthogonal frequency‐division multiple access, and also channel estimation in MIMO systems as in is an important subject and a prerequisite for spatial modulation (SM) or space shift keying (SSK).…”
Section: Introductionmentioning
confidence: 99%
“…The most known form is vertical‐BLAST , which causes high level of interchannel interference (ICI). In recent years, lots of new methods and techniques about MIMO systems are developed as in especially on relay networks, code division multiple access, vertical‐BLAST and orthogonal frequency‐division multiple access, and also channel estimation in MIMO systems as in is an important subject and a prerequisite for spatial modulation (SM) or space shift keying (SSK).…”
Section: Introductionmentioning
confidence: 99%