A Reduced-State Ungerboeck Type MAP Receiver with Bidirectional Decision Feedback for M-ary Quasi Orthogonal Signaling

Date

2014-02-01

Author

Güvensen, Gökhan Muzaffer
Tanık, Yalçın
Yılmaz, Ali Özgür

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

216
views

0
downloads

In this paper, we propose a generic receiver based on optimum maximum likelihood sequence estimation (MLSE) employing a generalized Ungerboeck metric with significantly reduced complexity for the general class of M-ary quasi orthogonal signaling (MOS) in severe multipath fading channels. First, by using the factor graph (FG) of the obtained generalized Ungerboeck metric for MOS and sum-product algorithm (SPA) framework, a highly efficient reduced state sequence estimation (RSSE) algorithm is proposed that operates on forward and backward directions and is directly applied to unwhitened channel matched filter (CMF) and code matched filter outputs at symbol rate. The proposed structure, generating the a posteriori probabilities (APP) by bidirectional RSSE recursions, are substantiated with symbol rate bidirectional decision feedback (BDF) based on surviving paths in order to eliminate the post-and pre-cursor inter-symbol interference (ISI) as well as multi code interference (MCI) due to the non-ideal properties of the signaling waveforms and multipath channel. It appears as the unification of Ungerboeck type reduced trellis equalization framework for MOS and achieves near-optimum performance especially for channels with large dispersion. Second, we identify a bias term through an error probability analysis which helps us improve the proposed receiver's performance. Furthermore, a tight approximation for the bit error rate (BER) of the proposed receiver is derived. These analyses lead to significant insight on the selection of system parameters and clearly demonstrate the high performance and efficiency of the proposed scheme by a proper choice of the signaling parameters.

Subject Keywords

M-ary quasi orthogonal signaling, Ungerboeck type MLSE, MAP Receiver, Factor Graph (FG), Sum-Product Algorithm (SPA), Reduced State Sequence Estimation (RSSE), Bidirectional equalization, Decision feedback, Channel matched filter (CMF), Multipath fading, ISI, Bias

URI

https://hdl.handle.net/11511/30344

Journal

IEEE TRANSACTIONS ON COMMUNICATIONS

DOI

https://doi.org/10.1109/tcomm.2014.011114.130714

Collections

Graduate School of Natural and Applied Sciences, Article

Suggestions

OpenMETU
Core

An efficient ungerboeck type MAP receiver for multi-user channel with M-Ary quasi orthogonal signaling M-Ary yakla̧sik dikgen sinyalleşme ile çoklu erişim için etkin ungerboeck tipinde MAP alicisi Güvensen, Gökhan Muzaffer; Tanık, Yalçın; Yılmaz, Ali Özgür (2013-08-05) In this paper, a high performance MAP receiver with significantly reduced complexity is proposed for multiple-access channel with M-ary quasi orthogonal signaling. The proposed architecture operates on the channel and code matched filters (MF) belonging to each users signaling waveforms. The proposed MAP receiver is based on the factor graph (FG) obtained by using the equivalent channel model, and it operates on forward and backward directions along signaling intervals iteratively. Also, it is substantiated...
A Low-Complexity Graph-Based LMMSE Receiver for MIMO ISI Channels With M-QAM Modulation Sen, Pinar; Yılmaz, Ali Özgür (2017-02-01) In this paper, we propose a low complexity graph-based linear minimum mean-square-error (LMMSE) equalizer in order to remove inter-symbol and inter-stream interference in a multiple input multiple output (MIMO) communication. The proposed state space representation inflicted on the graph provides linearly increasing computational complexity with block length. In addition, owing to the Gaussian assumption used in the presented cycle-free factor graph, the complexity of the suggested equalizer structure is no...
A simplified MAP channel estimator for OFDM systems under Rayleigh fading ÇÜRÜK, SELVA; Tanık, Yalçın (2010-06-01) This paper presents a simplified Maximum A Posteriori (SMAP) channel estimator to be used in orthogonal frequency division multiplexing (OFDM) systems under the Rayleigh fading assumption for the subchannels, using a parametric correlation model and assuming that the channel is frequency selective and slowly time varying. Expressions for the mean-square error (MSE) of estimations are derived to evaluate the performance of the estimator. The relation between the correlation of subchannels taps and error vari...
A new anisotropic perfectly matched layer medium for mesh truncation in finite difference time domain analysis Tong, MS; Chen, YC; Kuzuoğlu, Mustafa; Mittra, R (1999-09-01) In this paper an unsplit anisotropic perfectly matched layer (PML) medium, previously utilized in the context of finite element analysis, is implemented in the finite difference time domain (FDTD) algorithm. The FDTD anisotropic PML is easy to implement in the existing FDTD codes, and is well suited for truncating inhomogeneous and layered media without special treatment required in the conventional PML approach. A further advantage of the present approach is improved performance at lower frequencies. The a...
Simplified MAP estimator for OFDM systems under fading Cueruek, Selva Muratoglu; Tanık, Yalçın (2007-04-25) This paper presents a simplified Maximum A Posteriori (MAP) estimator, which yields channel taps in OFDM systems under fading conditions using a parametric correlation model, assuming that the channel is frequency selective, slowly time varying and Gaussian. Expressions for the variance of estimation error are derived to evaluate the performance of the MAP estimator. The relation between the correlation of subchannels taps and error variance and the effect of Signal to Noise Ratio (SNR) are investigated. Th...

Citation Formats

G. M. Güvensen, Y. Tanık, and A. Ö. Yılmaz, “A Reduced-State Ungerboeck Type MAP Receiver with Bidirectional Decision Feedback for M-ary Quasi Orthogonal Signaling,” IEEE TRANSACTIONS ON COMMUNICATIONS, pp. 552–566, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30344.