Single-User and Multi-User Detection Performance of Synchronous Shortwave Differential Frequency Hopping Multiple-Access Systems

Zhu Yi-chao; Gan Liang-cai; Xiong Jun-qiao; Guo Jian-bing

doi:10.3724/SP.J.1146.2009.00050

Volume 32 Issue 1

Aug. 2010

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Zhu Yi-chao, Gan Liang-cai, Xiong Jun-qiao, Guo Jian-bing. Single-User and Multi-User Detection Performance of Synchronous Shortwave Differential Frequency Hopping Multiple-Access Systems[J]. Journal of Electronics & Information Technology, 2010, 32(1): 151-156. doi: 10.3724/SP.J.1146.2009.00050

Citation:

Zhu Yi-chao, Gan Liang-cai, Xiong Jun-qiao, Guo Jian-bing. Single-User and Multi-User Detection Performance of Synchronous Shortwave Differential Frequency Hopping Multiple-Access Systems[J]. Journal of Electronics & Information Technology, 2010, 32(1): 151-156. doi: 10.3724/SP.J.1146.2009.00050

Citation:

Zhu Yi-chao, Gan Liang-cai, Xiong Jun-qiao, Guo Jian-bing. Single-User and Multi-User Detection Performance of Synchronous Shortwave Differential Frequency Hopping Multiple-Access Systems[J]. Journal of Electronics & Information Technology, 2010, 32(1): 151-156. doi: 10.3724/SP.J.1146.2009.00050

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Single-User and Multi-User Detection Performance of Synchronous Shortwave Differential Frequency Hopping Multiple-Access Systems

doi: 10.3724/SP.J.1146.2009.00050

Received Date: 2009-01-15
Rev Recd Date: 2009-09-28
Publish Date: 2010-01-19

Abstract

Abstract

In this paper, theoretical analysis and simulations are performed on the performance of synchronous shortwave Differential Frequency Hopping (DFH) systems in the Multiple-Access (MA) communications. Single-user detection and multi-user detection are both considered. For single-user detection, Bit Error Rate (BER) upperbounds are derived and verified via simulation, both in the noiseless case and noise case. Results show that when the number of users is 2, the BER is 10-6 for the noiseless case. Furthermore, MA performance can be significantly improved if exact Jammer State Information (JSI) is available. Therefore, an iterative multi-user detection algorithm is proposed. In the iteration process, JSI of each available frequency is estimated and used to perform maximum likelihood detection for each user. Simulation results show that significant performance improvement is obtained relative to single-user detection.

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References(1)

References

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