|
[1] M. O. Damen, H. E. Gamal, and G. Caire, “On maximum-likelihood detection and the search for the closest lattice point,” IEEE Trans. Inform. Theory, vol. 49, no. 10, pp. 2389–2402, 2003. [2] A. Wiesel, Y. C. Eldar, and S. Shamai, “Semidefinite relaxation for detection of 16-QAM signaling in MIMO channels,” in IEEE Signal Process. Lett., vol. 12, no. 9, November 2005, pp. 653–656. [3] Y. Yang, C. Zhao, P. Zhou, and W. Xu, “MIMO detection of 16-QAM signaling based on semidefinite relaxation,” in IEEE Signal Process. Lett., vol. 14, no. 11, November 2007, pp. 797–800. [4] N. D. Sidiropoulos and Z.-Q. Luo, “A semidefinite relaxation approach to MIMO detection for higher-order constellations,” in IEEE Signal Process. Lett., vol. 13, no. 9, September 2006, pp. 525–528. [5] Z. Mao, X.Wang, and X.Wang, “Semidefinite programming relaxation approach for multiuser detection of QAM signals,” IEEE Trans. Wireless Commun., vol. 6, no. 12, pp. 4275–4279, December 2007. [6] A. Mobasher, M. Taherzadeh, R. Sotirov, and A. K. Khandani, “A nearmaximumlikelihood decoding algorithm for MIMO systems based on semi-definite programming,” IEEE Trans. Inf. Theory, vol. 53, no. 11, pp. 3869–3886, November 2007. [7] P. Tan and L. Rasmussen, “The application of semidefinite programming for detection in CDMA,” IEEE J. Select. Areas Commun., vol. 19, no. 4, pp. 1442–1449, April 2001. [8] W.-K. Ma, T. N. Davidson, K. M.Wong, Z.-Q. Luo, and P. C. Ching, “Quasi-maximumlikelihood multiuser detection using semi-definite relaxation with application to synchronous CDMA,” IEEE Trans. Signal Process., vol. 50, no. 4, pp. 912–922, April 2002. [9] B. Steingrimsson, Z.-Q. Luo, and K. M. Wong, “Soft quasi-maximum-likelihood detection for multiple-antenna wireless channels,” IEEE Trans. Signal Process., vol. 51, no. 11, pp. 2710–2719, November 2003. [10] W.-K. Ma, P. C. Ching, and Z. Ding, “Semidefinite relaxation based multiuser detection for M-ary PSK multiuser systems,” IEEE Trans. Signal Process., vol. 52, no. 10, pp. 2862–2872, October 2004. [11] J. Jalden and B. Ottersten, “The diversity order of the semidefinite relaxation detector,” IEEE Trans. Inf. Theory, vol. 54, no. 4, pp. 1406–1422, April 2008. [12] M. Kisialiou and Z.-Q. Luo, “Performance analysis of quasi-maximum-likelihood detector based on semi-definite programming,” in Proc. IEEE Int. Conf. Acoustics and Speech and Signal Process., pp. 433–436, March 2005. [13] A. M.-C. So, “On the performance of semidefinite relaxation MIMO detectors for QAM constellations,” In Proceedings of the 2009 IEEE International Conference on Acoustics and Speech and Signal Processing (ICASSP 2009), pp. 2449–2452, 2009. [14] M. Taherzadeh, A. Mobasher, and A. K. Khandani, “LLL reduction achieves the receive diversity in MIMO decoding,” IEEE Trans. Inform. Theory, vol. 53, no. 12, pp. 4801– 4805, 2007. [15] C. Helmberg, F. Rendl, R. Vanderbei, and H. Wolkowicz, “An interior-point method for semidefinite programming,” SIAM J. Optim., vol. 6, no. 2, pp. 342–361, 1996. [16] D. Wubben, R. Bohnke, V. Kuhn, and K.-D. Kammeyer, “MMSE-based latticereduction for near-ML detection of MIMO systems,” ITG Workshop on Smart Antennas, pp. 106–113, March 2004. [17] A. K. Lenstra, H. W. Lenstra, and L. Lovssz, “Factoring polynomials with rational coefficients,” Math. Ann., vol. 261, pp. 515–534, 1982. [18] D. Seethaler, G. Matz, and F. Hlawatsch, “Low-complexity MIMO data detection using Seysen’s lattice reduction algorithm,” in IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007., vol. 3, 15-20 2007, pp. III–53 –III– 56. [19] W.-K. Ma, C.-C. Su, J. J., T.-H. Chang, and C.-Y. Chi, “The equivalence of semidefinite relaxation MIMO detectors for higher-order QAM,” IEEE Journal of Selected Topics in Signal Processing, vol. 3, pp. 1038–052, December 2009. [20] J. F. Sturm, “Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones,” Optimization Methods and Software, vol. 11-12, pp. 625–653, 1999. [21] S. J. Benson and Y. Ye, “DSDP5 User GuideXThe Dual-Scaling Algorithm for Semidefinite Programming,” Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, 2004, [Online]. Available: http://www.mcs.anl.gov/ benson. [22] W.-K. Ma, C.-C. Su, J. Jalden, and C.-Y. Chi, “Some results on 16-QAM MIMO detection using semidefinite relaxation,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process (ICASSP), pp. 2673–2676, April 2008. [23] J. Jalden and B. Ottersten, “Channel dependent termination of the semidefinite relaxation detector,” IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 4, May 2006.
|