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Reduced-dimension MAP turbo-BLAST detection

A. Elkhazin, K.N. Plataniotis, S. Pasupathy
2006 IEEE Transactions on Communications  
The proposed detector, the Reduced Dimension MAP (RDMAP) detector, is a generalization of both the MAP detector and the turbo-processing Minimum Mean Squared Error (MMSE) detector in [21, [31.  ...  We propose a novel turbo-prncessing BLAST detector based on a group detection strategy that can operate in system with fewer receiver antennas than transmitter antennas.  ...  A more computational feasible detector is the minimum mean squared error In this paper, we a propose a novel BLAST detector, termed the Reduced Dimension MAP (RDMAP) detector, based on a group detection  ... 
doi:10.1109/tcomm.2005.861658 fatcat:ncbmx5y7hregrefx7gz3lfosiq

Reduced dimension MAP turbo-BLAST detection

A. Elkhazin, K. Plataniotis, S. Pasupathy
2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514)  
The proposed detector, the Reduced Dimension MAP (RDMAP) detector, is a generalization of both the MAP detector and the turbo-processing Minimum Mean Squared Error (MMSE) detector in [21, [31.  ...  We propose a novel turbo-prncessing BLAST detector based on a group detection strategy that can operate in system with fewer receiver antennas than transmitter antennas.  ...  A more computational feasible detector is the minimum mean squared error In this paper, we a propose a novel BLAST detector, termed the Reduced Dimension MAP (RDMAP) detector, based on a group detection  ... 
doi:10.1109/vetecs.2004.1390468 fatcat:ptjh7nw2ojcrlcdrr266botmsm

Low complexity iterative receiver for MIMO-OFDM systems

Na Du, Dazhuan Xu
2007 2007 International Symposium on Intelligent Signal Processing and Communication Systems  
The computationally efficient iterative receiver is investigated for MIMO-OFDM systems with turbo-BLAST (Bell Labs layered space time) structure in this paper.  ...  Furthermore, a cancellation scheme based on bit-level cancellation is presented to reduce the overall complexity.  ...  The computation complexity is reduced because the dimension of k Y is lessened compared with k Y .  ... 
doi:10.1109/ispacs.2007.4445964 fatcat:zhutrjvxmbecxeualsmjbtl7aq

Turbo-Space Time Block Coded and Turbo-Vertical Bell Laboratories Layered Space Time coded Wireless Communication: Which One is better to Use and under What Circumstances?

2019 International journal of recent technology and engineering  
These 64 QAM Modulated symbols are further mapped using Space Time Block Code and Vertical Bell Laboratories Layered Space Time code for Turbo-Space Time Block Coded system and Turbo-Vertical Bell Laboratories  ...  The Turbo Encoder accepts binary bits as input and generates turbo encoded bits as output which is sent to 64 QAM modulator.  ...  complex vector j i,  is the channel matrix having N M  dimension.  ... 
doi:10.35940/ijrte.b1775.078219 fatcat:ecc4c2w32vabbdxhrrsumut334

Enhanced Mobile Multiple-Input Multiple-Output Underwater Acoustic Communications

Kexin Zhao, Jun Ling, Jian Li
2013 International Journal of Distributed Sensor Networks  
equalizer that achieves negligible detection performance degradation compared to its direct implementation counterpart.  ...  This paper also considers turbo equalization for retrieving the transmitted signal.  ...  The number of unknowns in the frequency dimension, as a consequence, is significantly reduced.  ... 
doi:10.1155/2013/471962 fatcat:oxce76kazjcljcmdxltw4egrd4

A hybrid RTS-BP algorithm for improved detection of large-MIMO M-QAM signals

Tanumay Datta, N. Srinidhi, A. Chockalingam, B. Sundar Rajan
2011 2011 National Conference on Communications (NCC)  
Low-complexity near-optimal detection of large-MI-MO signals has attracted recent research.  ...  performance improvement was still possible for higher-order QAM (e.g., 16-, 64-QAM). ) BP also achieved near-optimal performance for large dimensions, but only for {±1} alphabet.  ...  In Fig. 4 , we have plotted the turbo coded BER of RTS-BP and RTS in 32 × 32 V-BLAST with 64-QAM for rate-1/2 (96 bps/Hz) and rate-3/4 (144 bps/Hz) turbo codes.  ... 
doi:10.1109/ncc.2011.5734727 fatcat:22cvdjmvhfbc5lxcfebk4lr5dy

Improved Iterative MIMO Signal Detection Accounting for Channel-Estimation Errors

S.M.-S. Sadough, M.-A. Khalighi, P. Duhamel
2009 IEEE Transactions on Vehicular Technology  
Index Terms-Channel-estimation errors, improved maximum a posteriori (MAP) detection, mismatched detection, multipleinput-multiple-output (MIMO), soft parallel-interference cancellation (soft-PIC) detection  ...  Thus, the proposed improved detectors are of particular interest under relatively fast-fading conditions, where it is important to reduce the number of pilots to avoid a significant loss in data rate.  ...  Case of Turbo-MAP Detector Let us first consider the turbo-MAP detector.  ... 
doi:10.1109/tvt.2009.2016103 fatcat:e3niasc3mveblfh73h44bjgufi

A Hybrid RTS-BP Algorithm for Improved Detection of Large-MIMO M-QAM Signals [article]

Tanumay Datta, N. Srinidhi, A. Chockalingam, B. Sundar Rajan
2010 arXiv   pre-print
Our simulation results show that in a 32 x 32 V-BLAST system, the proposed RTS-BP algorithm performs better than RTS by about 3.5 dB at 10^-3 uncoded BER and by about 2.5 dB at 3× 10^-4 rate-3/4 turbo  ...  also was shown to achieve near-optimal performance for large dimensions, but only for {± 1} alphabet.  ...  Fig. 5 CODED 5 BER PERFORMANCE COMPARISON BETWEEN THE PROPOSED HYBRID RTS-BP AND THE RTS IN 32 × 32 V-BLAST WITH 64-QAM, i) RATE-1/2 TURBO CODE (96 BPS/HZ), ii) RATE-3/4 TURBO CODE (144 BPS/HZ).  ... 
arXiv:1001.2376v1 fatcat:utjxjkqtg5g47cduuqhabulup4

Two Decades of MIMO Design Tradeoffs and Reduced-Complexity MIMO Detection in Near-Capacity Systems

Chao Xu, Shinya Sugiura, Soon Xin Ng, Peichang Zhang, Li Wang, Lajos Hanzo
2017 IEEE Access  
aided MIMO detection.  ...  Index Terms-MIMO design tradeoffs, soft-decision detectors, near-capacity systems, reduced-complexity design.  ...  in the context of turbo detection.  ... 
doi:10.1109/access.2017.2707182 fatcat:xycdmrnatfbdfdfnogpwuj7bje

Reduced-Complexity Approx-Log-MAP and Max-Log-MAP Soft PSK/QAM Detection Algorithms

Chao Xu, Dandan Liang, S. Sugiura, Soon Xin Ng, L. Hanzo
2013 IEEE Transactions on Communications  
In this paper, we propose to reduce the complexity of both the Approx-Log-MAP algorithm as well as of the Max-Log-MAP algorithm conceived for generalized PSK/QAM detection, where only a reduced-size subset  ...  Furthermore, we demonstrate in this paper that the widely applied MIMO schemes including V-BLAST and STBC, which invoke the proposed soft PSK/QAM detectors may also benefit from our reduced-complexity  ...  Conventional Max-Log-MAP Reduced-Complexity Approx-Log-MAP Reduced-Complexity Max-Log-MAP Conventional Approx-Log-MAP Conventional Max-Log-MAP Reduced-Complexity Approx-Log-MAP Reduced-Complexity Max-Log-MAP  ... 
doi:10.1109/tcomm.2013.020813.110683 fatcat:qpptxsezjjh73gbbmmjjmiqfye

Low-Complexity Detection in Large-Dimension MIMO-ISI Channels Using Graphical Models

Pritam Som, Tanumay Datta, N. Srinidhi, A. Chockalingam, B. Sundar Rajan
2011 IEEE Journal on Selected Topics in Signal Processing  
In this paper, we deal with low-complexity near-optimal detection/equalization in large-dimension multiple-input multiple-output inter-symbol interference (MIMO-ISI) channels using message passing on graphical  ...  From a performance perspective, these algorithms are even more interesting in large-dimensions since they achieve increasingly closer to optimum detection performance for increasing Kn_t.  ...  A comparison of the turbo coded BER performance of MIMO-CPSC with MRF BP detection and MIMO-OFDM with ML detection is shown in Fig. 10 for , , and BPSK.  ... 
doi:10.1109/jstsp.2011.2166950 fatcat:pb56snpogvfbvpulkrulbwtt5u

A Polynomial QR Decomposition Based Turbo Equalization Technique for Frequency Selective MIMO Channels

Martin Davies, Sangarapillai Lambotharan, Joanne Foster, Jonathon Chambers, John McWhirter
2009 VTC Spring 2009 - IEEE 69th Vehicular Technology Conference  
A polynomial QR decomposition based turbo equalization technique for frequency selective MIMO channels.  ...  A polynomial QR decomposition based turbo equalization technique for frequency selective MIMO channels. Citation: DAVIES, M. ... et al.  ...  Figure 3 shows the turbo equalization structure. MMSE Equalizer - L E (x n ) x n Deinterleaver - L(c n ) MAP Decoder y n - Interleaver data estimate L(x n ) ,x n L D (c n ) - - Fig. 3.  ... 
doi:10.1109/vetecs.2009.5073330 dblp:conf/vtc/DaviesLFCM09 fatcat:hh3vhrw455eeboykulp6occn4e

Polynomial Matrix QR Decomposition and Iterative Decoding of Frequency Selective MIMO Channels

Martin Davies, Sangarapillai Lambotharan, Joanne Foster, Jonathon Chambers, John McWhirter
2009 2009 IEEE Wireless Communications and Networking Conference  
Fig. 2 . 2 H-BLAST transmitter architecture Fig. 3 . 3 x n ) ,x n L D (c n ) Turbo equalization structure Fig. 5 . 5 Average uncoded BER results for H-BLAST PMQRD and MIMO-OFDM schemes for a 3x3 MIMO  ...  Optimal Detection Ordering The performance of the iterative interference cancellation scheme is affected by the order in which the components of x are detected.  ... 
doi:10.1109/wcnc.2009.4917911 dblp:conf/wcnc/DaviesLFCM09 fatcat:kunw7gmubbdvblhv72ij2jkh3e

Low complexity soft detection for spatially multiplexed BICM MIMO OFDM system

Rizwan Ghaffar, Raymond Knopp
2009 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications  
These streams, after being detected, are subsequently stripped off leading to max log MAP detection of the streams which have seen comparatively poor realizations of the channel and consequently have lower  ...  The proposed algorithm orders spatial streams as per V-BLAST ordering and then uses linear detectors like MMSE or zero forcing (ZF) to detect the streams which have seen good channel realizations and therefore  ...  We consider the V-BLAST criteria by simply ordering the streams as per the decreasing post detection SNR.  ... 
doi:10.1109/spawc.2009.5161794 fatcat:7qzz4reyq5hxtbjafkaredmi3e

Near-ML Signal Detection in Large-Dimension Linear Vector Channels Using Reactive Tabu Search [article]

N. Srinidhi, Saif K. Mohammed, A. Chockalingam, B. Sundar Rajan
2009 arXiv   pre-print
Low-complexity near-optimal signal detection in large dimensional communication systems is a challenge.  ...  Our simulation results show that, while algorithms including variants of sphere decoding do not scale well for large dimensions, the proposed RTS algorithm scales well for signal detection in large dimensions  ...  Comparison of uncoded BER performance of V-BLAST using RTS detection versus fixed-complexity sphere decoding in [12] and reduced complexity sphere decoder in [13] for Nt = Nr = 4, 8, 16, 32 and 4-QAM.  ... 
arXiv:0911.4640v1 fatcat:ikz6zamqe5g5bgjqtmal5vmf3u
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