Semidefinite programming detection for OvHDM signal

中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (3): 8-12.doi:

Semidefinite programming detection for OvHDM signal

莫勇;杨星;李道本

School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

收稿日期:2007-12-13 修回日期:1900-01-01 出版日期:2008-09-30
通讯作者: 莫勇

Semidefinite programming detection for OvHDM signal

MO Yong, YANG Xing, LI Dao-ben

School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2007-12-13 Revised:1900-01-01 Online:2008-09-30

摘要/Abstract

摘要：

Non-orthogonal time-frequency division multiplexing (NTFDM) transmission scheme has been proposed to further improve the bandwidth efficiency and overcome the drawbacks of the conventional orthogonal frequency division multiplexing (OFDM) method. Based on such approach, the fast signal detection algorithm, semidefinite programming (SDP) detection, has been studied. As the coefficient matrix tends to be ill conditioned, the modified SDP algorithm combined with successive interference cancellation (SIC) has been developed. The improved algorithm is a good tradeoff between performance and detection complexity. Simulation results show that the proposed algorithm can achieve better performance than cutting plane aided SDP method.

关键词:

overlapped;TDM;(OvTDM),;overlapped;frequency;division;multiplexing;(OvFDM),;overlapped;hybrid;division;multiplexing;(OvHDM),;semidefinite;programming,;successive;interference;cancellation

Abstract:

Key words:

overlapped TDM (OvTDM);overlapped frequency division multiplexing (OvFDM);overlapped hybrid division multiplexing (OvHDM);semidefinite programming;successive interference cancellation

MO Yong, YANG Xing, LI Dao-ben

. Semidefinite programming detection for OvHDM signal[J]. Acta Metallurgica Sinica(English letters), 2008, 15(3): 8-12.

参考文献

1. Li D B. A high spectrum efficiency overlapped frequency division multiplexing (OvFDM) technology. PCT/CN2006/002012. 2006

2. Hou Y F, Hamamura M. Bandwidth efficiency of PC-OFDM systems with high compaction multi-carrier modulation. Proceedings of 2005 International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM’05), Sept 23–26 2005, Wuhan, China. 2005: 197–200

3. Li D B. A high spectrum efficiency overlapped time division multiplexing (OvTDM) technology. PCT/CN2006/001585. 2006

4. Sari H, Karam G, Jeanclaud I. Frequency-domain equalization of mobile radio and terrestrial broadcast channels. Proceedings of IEEE Global Telecommunications Conference (GLOBECOM’94): Vol 1, Nov 28–30, 1994, San Francisco, CA, USA. Piscataway, NJ, USA: IEEE, 1994: 1–5

5. Rusek F, Anderson J. The two dimensional mazo limit. Proceedings of International Symposium on Information Theory (ISIT’05), Sep 4–9, 2005, Adelaide, Australia. 2005: 970–974

6. Chen J, Siegel P. On the symmetric information rate of two-dimensional finite-state ISI channels. IEEE Transactions on Information Theory, 2006, 52(1): 227–236

7. Lin S, Costello D J. Error control coding: fundamentals and applications. New York, NY, USA: Prentice-Hall Press, 1983

8. Wang F Q, Costello D J. Erasure-free sequential decoding of trellis codes. IEEE Transactions on Information Theory, 1994, 40(6): 1803–1817

9. Fincke U, Pohst M. Improved methods for calculating vectors of short length in a lattice, including a complexity analysis. Mathematics of Computation, 1985, 44(5): 463–471

10. Tan P H, Rasmussen L. The application of semidefinite programming for detection in CDMA. IEEE Journal on Selected Areas in Communications, 2001, 19(8): 1442–1449

11. Helmberg C, Rendl F, Vanderbei R, et al. An interior point method for semidefinite programming. SIAM Journal on Optimization, 1996, 7(3): 342–361

12. Goemans M X, Williamson D P. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming. Journal of the ACM, 1995, 42(6): 1115–1145

13. Helmberg C, Rendl F. Solving quadratic (0,1)-problems by semidefinite programs and cutting planes. Mathematical Programming, 1998, 82(3): 291–315

14. Kisialiou M, Luo Z Q. Performance analysis of quasi-maximum-likelihood detector based on semi-definite programming. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’05), Mar 19–23, 2005, Philadelphia, PA, USA. 2005: 433–436

15. Wang X, Lu W S, Antoniou A. A recursive convex programming approach for DS-CDMA multiuser detection. IEEE Pacific Rim Conference on Communications, Computers and signal Processing (PACRIM’03), Aug 28–30, 2003, Victoria, Canada. 2003: 434–437

16. Wang X, Lu W S, Antoniou A. Multiuser detectors for synchronous DS-CDMA systems based on a recursive p-norm convex relaxation approach. IEEE Transactions on Circuits and Systems, 2005, 52(5): 1021–1031

17. Ma W K, Davidson T, Wong K M, et al. A block alternating likelihood maximization approach to multiuser detection. IEEE Transactions on Signal Processing, 2004, 52(9): 2600–2611

[1]	Ren Chao, He Zongrui, Sun Chen, Li Haojin, Zhang Haijun. Wireless semantic communication based on semantic matching multiple access and intent bias multiplexing[J]. 中国邮电高校学报(英文版), 2024, 31(1): 26-36.
[2]	Zheng Guangming, Zhou Tianle, Lu Haiwei, Long Yifei, Bai Jing. Study on high-order frequency selective surface with interdigital capacitance loading[J]. 中国邮电高校学报(英文版), 2024, 31(1): 57-63.
[3]	梁晓林, 刘千龙, 曹旺斌, 刘帅奇, 赵淑欢, 赵雄文. Fairness optimization and power allocation in cognitive NOMA / OMA V2V network with imperfect SIC [J]. 中国邮电高校学报(英文版), 2023, 30(6): 68-81.
[4]	牛耀辉李秀萍赵文禹. Review of reader antennas for UHF RFID systems[J]. 中国邮电高校学报(英文版), 2023, 30(5): 72-92.
[5]	Wang Qiang, Zhang Yijia, Zhang Tianjiao, Zhang Wenqi, Gao Yue, Tafazolli Rahim. Secure degrees of freedom for general MIMO interference channel under rank-deficiency [J]. 中国邮电高校学报(英文版), 2023, 30(3): 65-77.
[6]	杜晓娟田斌. Mainlobe interference suppression and beam pattern optimization methods[J]. 中国邮电高校学报(英文版), 2023, 30(2): 1-7.
[7]	Zhang Jiangbo, Zheng Jiali, Quan Yixuan, Lin Zihan, Xie Xiaode. Improved sparrow search algorithm for RFID network planning[J]. 中国邮电高校学报(英文版), 2023, 30(1): 93-102.
[8]	谢孝德郑嘉利林子涵何思怡冯敏瑜. Random mating mayfly algorithm for RFID network planning[J]. 中国邮电高校学报(英文版), 2022, 29(5): 40-50.
[9]	林子涵郑嘉利谢孝德冯敏瑜何思怡. RFID network planning based on improved brain storm optimization algorithm[J]. 中国邮电高校学报(英文版), 2022, 29(5): 30-39.
[10]	晁浩连卫芳刘永利. Spatiotemporal emotion recognition based on 3D time-frequency domain feature matrix[J]. 中国邮电高校学报(英文版), 2022, 29(5): 62-72.
[11]	Sun Junshuai, Zhu Xinghui, Xiao Yeqiu, Cheng Ke, Zhao Shuangrui. Adaptive TTI bundling with self-healing scheme for 5G[J]. 中国邮电高校学报(英文版), 2022, 29(1): 64-70.
[12]	Sheng Haiyan, Wei Shimin, Yu Xiuli, Tang Ling. Research on robot grabbing system based on hybrid cloud[J]. 中国邮电高校学报(英文版), 2021, 28(6): 48-54.
[13]	Quan Yixuan, Zheng Jiali, Xie Xiaode, Lin Zihan, Luo Wencong. Hybrid gray wolf optimization-cuckoo search algorithm for RFID network planning [J]. 中国邮电高校学报(英文版), 2021, 28(6): 91-102.
[14]	Ma Shexiang, Mei Xiaobing. Side-lobe constrained beamforming under virtual expansion of L-shaped array[J]. 中国邮电高校学报(英文版), 2021, 28(2): 79-88.
[15]	邓军勇吴皓月罗佳莹山蕊刘新闯. LOOKNoC: a low-loss, non-blocking, scalable passive optical interconnect network-on-chip architecture [J]. 中国邮电高校学报(英文版), 2021, 28(1): 94-106.

Semidefinite programming detection for OvHDM signal

Semidefinite programming detection for OvHDM signal

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价