Differential LDPC coded systems with multiple symbol differential detection over AWGN сhannels
/ 0
- Details
- Category: Information technologies, systems analysis and administration
- Last Updated on 06 November 2015
- Published on 06 November 2015
- Hits: 3674
Authors:
YangYu, School of Electrical and Information Engineering,Jiangsu University of Technology,Changzhou 213001, Jiangsu, China
Defa Hu, School of Computer and Information Engineering, Hunan University of Commerce, Changsha 410205, Hunan, China
Abstract:
Purpose. In this paper, a scheme of differential LDPC coded systems with multiple symbol differential detection (MSDD) was studied to improve the performance of the differential LDPC coded systems with conventional differential detection (CDD).
Methodology. In order to make the systemsuit for iterative decoding, the metric of MSDD soft-input soft-output (SISO) module of the considered systems over AWGN channels was derived first. Extrinsic information transfer (EXIT) chart analysis and the computer simulations were then performed to analyze the characteristics and the performance of the considered systems.
Findings. It was shown that the considered systems could improve the performance of the system by extending the obser-vation window size of MSDD SISO module and increasing the number of iterative decoding compared to the system with CDD.
Originality. It was proved that the proposed scheme could be used to resolve the problem of performance degradation of differential LDPC coded systems with CDD.
Practical value. Therefore, the proposed scheme may be applied into the wireless communication systems when it is expensive or infeasible to apply the coherent detection.
References:
-
Divsalar, D.and Simon, M.K.(1994), “Maximum-like li-hood differential detection of uncoded and trellis coded amplitude phase modulation over AWGN and fading channels –Metrics and performance”, IEEE Transactions on Communications, vol. 42, no.1, pp. 76–89.
-
Marsland, I.D. and Mathiopoulos, P.T. (2000), “On the performance of iterative noncoherent detection of coded M-PSK signals”, IEEE Transactions on Communications, vol. 48, no.4, pp. 588–596.
-
Kadir, M.I., Chen, S., Hari, K.V.S., Giridhar, K. and Hanzo, L.(2014), “OFDM-aided differential space–time shift keying using iterative soft multiple-symbol differential sphere decoding”, IEEE Transactions on Vehicular Technology, vol.63, no.8, pp.4102–4108.
-
Wang, L., Li, L., Xu, C., Liang, D., Ng, S.X., Hanzo, L.(2014), “Multiple-Symbol Joint Signal Processing for Differentially Encoded Single-and Multi-Carrier Communications: Principles, Designs and Applications”, IEEE Communications Surveys & Tutorials, vol.16, no.2, pp.689–712.
-
Wang, L.,Hanzo, L.(2012), “Low-Complexity Near-Optimum Multiple-Symbol Differential Detection of DAPSK Based on Iterative Amplitude/Phase Processing”, IEEE Tra-nsactions on Vehicular Technology, vol. 61, no.2, pp. 894–900.
-
Nam,V.T.,Kam,P.Y.and Xin,Y.(2007), “LDPC codes with BDPSK and differential detection over flat Rayleigh fading channels”, Proc. of the 50th IEEE Global Telecommunications Conference, pp. 3245–3249.
-
Franceschini,M., Ferrari,G., Raheli, R. and Curtoni , A. (2005), “Serial concatenation of LDPC codes and differential modulations”, IEEE Journal on Selected Areas in Communications, vol. 23, no.9, pp. 1758–1768.
-
Li, J.(2008), “Differentially Encoded LDPC Codes-PartII:General Case and Code Optimization”, EURASIP Journal on Wireless Communications and Networking, vol. 2008, pp. 1–10.
-
Ten Brink, S.(2001), “Convergence behavior of iteratively decoded parallel concatenated codes”, IEEE Transactions on Communications, vol. 49, no. 10, pp. 1727–1737.
El-Hajjar, M.and Hanzo, L.(2014), “EXIT Charts for System Design and Analysis”, IEEE Communications Surveys & Tutorials, vol.16, no.1, pp. 127–153.
 2015_04_yu
|
|
 2015-11-03  501.55 KB  1220 |
|
Archive