Approximate ML detection for MIMO systems with very low complexity

Rupp, Markus; Gritsh, G.; Weinrichter, H.

doi:10.1109/icassp.2004.1326950

Cited by 24 publications

(13 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, when compared to the ML detection, we had showed in [7] that the iterative receiver converges after 3 iterations only. However, the ML detection complexity increases with the MIMO architecture size and the modulation order [16]. Thus, the proposed 3D code complexity is of the same order of the NO codes complexity.…”

Section: Complexity Considerationsmentioning

confidence: 99%

System Level Evaluation of Innovative Coded MIMO-OFDM Systems for Broadcasting Digital TV

Nasser

Hélard

Crussière

2008

International Journal of Digital Multimedia Broadcasting

View full text Add to dashboard Cite

Single-frequency networks (SFNs) for broadcasting digital TV is a topic of theoretical and practical interest for future broadcasting systems. Although progress has been made in the characterization of its description, there are still considerable gaps in its deployment with MIMO technique. The contribution of this paper is multifold. First, we investigate the possibility of applying a space-time (ST) encoder between the antennas of two sites in SFN. Then, we introduce a 3D space-time-space block code for future terrestrial digital TV in SFN architecture. The proposed 3D code is based on a double-layer structure designed for intercell and intracell space time-coded transmissions. Eventually, we propose to adapt a technique called effective exponential signal-tonoise ratio (SNR) mapping (EESM) to predict the bit error rate (BER) at the output of the channel decoder in the MIMO systems. The EESM technique as well as the simulations results will be used to doubly check the efficiency of our 3D code. This efficiency is obtained for equal and unequal received powers whatever is the location of the receiver by adequately combining ST codes. The 3D code is then a very promising candidate for SFN architecture with MIMO transmission.

show abstract

Section: Complexity Considerationsmentioning

confidence: 99%

System Level Evaluation of Innovative Coded MIMO-OFDM Systems for Broadcasting Digital TV

Nasser

Hélard

Crussière

2008

International Journal of Digital Multimedia Broadcasting

View full text Add to dashboard Cite

show abstract

“…We list a few here. In [5], a multistage quadrant oriented demodulator is presented for QAM. In [2], the sphere decoder [4] is generalized to a multistage algorithm, again by exploiting QAM quadrant subsets.…”

Section: Related Workmentioning

confidence: 99%

SLIC: A Low Complexity Demodulator for MIMO

Khayrallah

2011

2011 IEEE Vehicular Technology Conference (VTC Fall)

View full text Add to dashboard Cite

This paper describes a low complexity demodulator for MIMO, which approximates the optimal joint detector. Our demodulator is called SLIC, which stands for serial localization with indecision and color suppression. The main features of SLIC are: 1) a serial structure, where the search for the eventual solution is incrementally localized in each stage; 2) each stage uses a sparse set of centroids as a proxy for constellation symbols; 3) centroids represent subsets of constellation symbols, and the subsets overlap by design. The use of centroids creates an intentional residual signal, which is left to a later stage to resolve, and is suppressed as a colored noise in the current stage. We present performance results with different subset designs for 16, 64 and 256QAM. Overall, we show that SLIC is an attractive tradeoff of complexity and performance in the MIMO scenario.

show abstract

“…The Markov chain Monte Carlo (MCMC) technique [12] executes the Gibbs sampling (GS) procedure to generate a list of likely candidates of transmitted symbol vectors for detection. By reducing the search set, the multilevel detection scheme [13] achieves near-ML performance with much lower complexity.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid MMSE and K-Best Detection Scheme for MIMO Systems

Hung

Chang

Chung

2012

2012 IEEE Vehicular Technology Conference (VTC Fall)

View full text Add to dashboard Cite

A new multiple-input multiple-output (MIMO) detection scheme combining minimum-mean-square-error (MMSE) detection and the K-best detection algorithm is proposed. The proposed scheme leverages the MMSE detection results to ease the demand of a large K in the conventional K-best algorithm to achieve satisfactory performance. The post-detection SNR obtained after MMSE detection is consulted to determine the symbols upon which a reduced-dimension K-best algorithm (hbest algorithm) is performed to obtain final detection results. Parameters associated with the proposed scheme are empirically chosen to make a fair comparison with the conventional K-best algorithm. Extensive Monte Carlo simulation demonstrates that the hybrid approach exhibits significant performance gain over both MMSE and K-best detection schemes.Index Terms-MIMO systems, maximum likelihood detection, MMSE detection, K-best detection algorithm.

show abstract

Approximate ML detection for MIMO systems with very low complexity

Cited by 24 publications

References 8 publications

System Level Evaluation of Innovative Coded MIMO-OFDM Systems for Broadcasting Digital TV

System Level Evaluation of Innovative Coded MIMO-OFDM Systems for Broadcasting Digital TV

SLIC: A Low Complexity Demodulator for MIMO

A Hybrid MMSE and K-Best Detection Scheme for MIMO Systems

Contact Info

Product

Resources

About