2006 49th IEEE International Midwest Symposium on Circuits and Systems 2006
DOI: 10.1109/mwscas.2006.382205
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Analog MIMO detection on the basis of Belief Propagation

Abstract: Abstract-In this article we present the design of an analog detector for Multiple-Input Multiple-Output (NIMO) wireless systems, based on the well known Belief Propagation (BP) algorithm. BP has been shown to obtain excellent results when solving inference problems in sparsely connected factor graphs. Unfortunately, MIMO detection is an example of inference in a densely connected graph, so other techniques need to be applied. We show that BP in conjunction with simulated annealing can offer near optimal perfor… Show more

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Cited by 21 publications
(23 citation statements)
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“…As in [16], comparing (17) and the joint probability distribution in a MRF given by (8), we adopt the definitions of the coupling and local field parameters as J i,j = − {R i,j } and θ i = {z i } , and the compatibility functions as…”
Section: {Ij}∈ementioning
confidence: 99%
See 1 more Smart Citation
“…As in [16], comparing (17) and the joint probability distribution in a MRF given by (8), we adopt the definitions of the coupling and local field parameters as J i,j = − {R i,j } and θ i = {z i } , and the compatibility functions as…”
Section: {Ij}∈ementioning
confidence: 99%
“…BP is a simple, yet highly effective, technique that has been successfully employed in a variety of applications including computational biology, statistical signal/image processing, etc. BP is well suited in several communication problems as well [9]; e.g., decoding of turbo codes and LDPC codes [10], [11], multiuser detection [12], [13], signal detection in ISI channels [14], [15], and MIMO detection [16], [17]. Recently, in [18], Wo and Hoeher has adopted BP for equalization in severely delayspread MIMO-ISI channels, using message passing on factor graphs.…”
Section: Introductionmentioning
confidence: 99%
“…Various detection algorithms have long been proposed like zero forcing (ZF), minimum mean square error (MMSE) and serial interference cancellation (SIC). In terms of BP's compatibility with other problems such as decoding and channel estimation, BP has been applied for MIMO detection recently [6]- [11]. The graph model of MIMO channels is a complete graph where each variable is connected to all the other variables, which means the graph has the most circles among the graphs having the equivalent variables.…”
Section: Introductionmentioning
confidence: 99%
“…The graph model of MIMO channels is a complete graph where each variable is connected to all the other variables, which means the graph has the most circles among the graphs having the equivalent variables. Standard BP in these complete graphs achieves poor performance [6], [7], or possesses high complexity [8]. Thereby designing message and message update rule of BP become the main issues for achieving good performance with low complexity.…”
Section: Introductionmentioning
confidence: 99%
“…Thus it appears to be more pragmatic to process these signals in analogue domain rather than in the digital domain. Additionally, recent research shows that processing naturally occurring signals in the analogue domain may result in a significant computational advantage compared to processing them in digital domain [12,13].…”
Section: Introductionmentioning
confidence: 99%