摘要
多用户检测在经典条件下的最优解是一个NP难解问题。利用量子态的检测理论,量子多用户检测技术能够有效地实现多用户检测的最优解,本文给出最优解的实现过程,并用数值计算加以说明。
出处
《通信学报》
EI
CSCD
北大核心
2003年第B11期147-151,共5页
Journal on Communications
参考文献10
-
1VERDU S. Mulfiuser Detection[M]. Cambridge University Press,1998.
-
2VERDU S. Minimum probability of error for asynchronous gaussian multiple-access channels[J].IEEE Trans Inform Theory,1986,IT-32(1):85-96.
-
3MOSHAAVI S. Multi-user detection for DS-CDMA communications[I]. IEEE Communications Magazine., 1996,124-136.
-
4HELSTRON C W. Quantum Detection and Estimation theory[M]. Academic Press,1976.
-
5CONCHA J I, POOR H V. Mulfiuser detection in quantum channels[A]. Proc IEEE Intern Symp on Inform Theory[C]. 2000. 276.
-
6NIELSEN M A, CHUANG I L. Quantum Computation and Quantum Information[M]. Cambridge University Press, 2000.
-
7CONCHA J L Signal detection in multi-access quantum channels[EB/OL], dissertation, http:\\www.ec.princeton.edu/-jiconcha, 2002.
-
8HELSTROM C W. Bayes-cost reduction algorithm in quantum hypothesis testing[J]. IEEE Trans Inform Theory, 1992, IT-28:359.
-
9BELAVKIN V P. Optimum distinction of non-orthogonal quantum signals[J]. Radio Engineering and Electronic Physics 1975,20(6): 39.
-
10CONCHA J I, POOR H V. Advances in quantum detection[A]. Communications, Data Security and Signal processing[C]. Kluwer,2002. 89-122.
同被引文献17
-
1王心水,吕振肃.一种新的基于免疫算法的多用户检测[J].甘肃科学学报,2004,16(3):58-60. 被引量:1
-
2赵生妹,李飞,郑宝玉.基于量子特性的多用户检测技术[J].信号处理,2004,20(5):501-506. 被引量:1
-
3Verdu S. Multiuser Detection[M]. London:Cambridge University Press, 1998.
-
4Lu Zhensu,Yan Shi. Multiuser Detector Based on a New Evolution Programming[A]. International Conference on Electrical Engineering [C]. Wuhan: Wuhan University Press, 2004 (ICEE2004).
-
5Lu Zhensu,Yan Shi. Multiuser Detector Based on Particle Swarm Algorithm[A]. IEEE 6th CAS Workshop/symposium on Emerging Technologies: Frontiers of Mobile and Wireless Communication[C]. Wuhan,Wuhan University Press,2004.
-
6Hoig M, Madhow U. Blind Adaptive Multiuser Detection[J]. IEEE Trans Information Theory,1995,41(4):944-960.
-
7ELDAR Y C,FORNEY G D.On quantum detection and the square-root measurement[J].IEEE Trans on Information Theory,2001,47 (3):858-872.
-
8ELDAR Y C,OPPENHEIM A V.Quantum signal processing[J].IEEE Signal Processing Magazine,2002,19 (6):12-32.
-
9ELDAR Y C,SHAMAI S.A covariance shaping framework for linear multiuser detection[J].IEEE Trans on Information Theory,2005,51 (7):2426-2446.
-
10ELDAR Y C.Least-squares inner product shaping[J].Linear Algebra Application,2002,348:153-174.
-
1赵生妹,李飞,郑宝玉.最佳量子多用户检测技术[J].电子学报,2005,33(1):135-137. 被引量:1
-
2余文斌,郑宝玉.含噪相干态信号的量子最优检测[J].南京邮电大学学报(自然科学版),2014,34(5):17-21.
-
3江涛,孙俊.量子雷达探测目标的基本原理与进展[J].中国电子科学研究院学报,2014,9(1):10-16. 被引量:22
-
4赵生妹,李飞,郑宝玉.基于量子特性的多用户检测技术[J].信号处理,2004,20(5):501-506. 被引量:1
-
5周敏,李飞,郑宝玉.基于量子算法的MIMO-OFDM信号检测研究[J].南京邮电大学学报(自然科学版),2011,31(2):78-82. 被引量:3
-
6周敏.量子遗传算法优化神经网络的MIMO-OFDM检测研究[J].计算机工程与应用,2011,47(27):161-163. 被引量:2
-
7杨倩倩.基于量子神经网络的MIMO信号检测技术[J].电脑知识与技术,2008,3(3):1342-1345. 被引量:2
-
8韩伟,郑宝玉.基于Grover算法的量子多用户检测[J].徐州师范大学学报(自然科学版),2005,23(1):35-38.
-
9洪亮.基于量子遗传算法的CDMA多用户检测技术[J].信息技术,2008,32(10):51-54. 被引量:2
-
10赵生妹,王成林,郑宝玉.基于SRM检测算法的量子多用户检测研究[J].信号处理,2007,23(3):365-369. 被引量:1