A low-complexity multiuser detector for Time-Hopping Impulse-Radio systems

International Conference on Communication Technology Proceedings, ICCT

Volumn , Issue , 2008, Pages 249-252

  Liu, Chao ^a  

^a HANGZHOU DIANZI UNIVERSITY   (China)

Author keywords

LAS; Multiuser detector; TH IR systems

Indexed keywords

LEARNING ALGORITHMS; LITHIUM ALLOYS; MULTIUSER DETECTION;

INFORMATION SYMBOLS; LAS; MULTIUSER DETECTOR; SEARCH ALGORITHMS; TH-IR SYSTEMS; USER PERFORMANCE;

DETECTORS;

EID: 58449121949     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCT.2008.4716221     Document Type: Conference Paper

References (15)

1. M.Z. Win and R.A. Scholtz, "Impulse radio: How it works", IEEE Commun. Lett., Vol 2, pp. 36-38, Feb. 1998.
2. S.S. Kolenchery, J.K. Townsend and J.A. Freebersyer, "A novel impulse radio network for tactical military wireless communications", in Proc. MILCOM, Boston, MA, Oct., 18-21 1998, pp 59-65.
3. P. Withington and L.W. Fullerton, "An impulse radio communications system", in Proc. Int. Conf. Ultra-WideBand, Short-pulse Electromagn., New York, Oct. 1992, pp. 113-120.
4. R.A. Scholtz, "Multiple access with time hopping impulse modulation", in Proc. MILCOM, Bedford, MA, Oct. 11-13, 1993
5. F. Ramirez-Mireles and R.A. Scholtz, "multiple-access performance limits with time hopping and pulse-position modulation", in Proc. MILCOM'98, Vol 2, Oct. 1998, pp 529-533.
6. M.Z. Win and R.A. Scholtz, "Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple access communications", IEEE Trans. Commun., Vol. 48, pp. 679-689, Apr. 2000.
7. Y.C. Yoon and R. Kohno, "Optimum multi-user detection in ultra-wideband (UWB) multiple-access communication systems", in Proc. IEEE Int. Conf. Commun., New York, Apr. 2002, pp. 812-816.
8. D.C. Laney, G.M. Maggio, F. Lehmann and L. Larson, "Multiple Access for UWb Impulse radio with Pseudochaotic Time Hopping", IEEE journal on Selected Areas in Commun. Vol 20, No. 9. Dec. 2002.
9. Eran Fishier, h. Vincent Poor, "Low-Complexity Multiuser Detectors for Time-Hopping Impluse-Radio Systems", IEEE Trans. On Signal Processing, vol. 52, no. 9, September 2004.
10. E. fishler and H.V.poor, "On the tradeoff between two types of processing gain", in Proc. 40th Annu. Allerton Conf. Comun., Contr., Comput., Allerton Park, IL, Oct, 2000.
11. Y. Sun, J.-G. Li, and S.-Y. Yu, "improvement on performance of modified Hopfield neural network for image restoration", IEEE Trans. Image Processing, vol. 4, no. 5, pp. 688-692, May 1995.
12. Y. Sun, "Hopfield neural network based algorithms for image restoration, and reconstruction - part I: algorithms and simulations", IEEE Trans. Signal Processing, vol. 48, no. 7, pp. 2105-2118, July 2000.
13. Y. Sun, "Hopfield neural network based algorithms for image restoration, and reconstruction - part II: performance analysis", IEEE Trans. Signal Processing, vol. 48, no. 7, pp. 2119-2131, July 2000.
14. Y. Sun, "A family of linear complexity likelihood ascent search detectors for CDMA multiuser detection", Proc. IEEE 6th Intl. Symp. On Spread Spectrum Tech. & App., September 2000.
15. K. Vishnu Vardham, Saif K. Mohammed, A. Chockaligam, B.S. Rajan, "A Low-Complexity Detector for Large MIMO Systems and Multicarrier CDMA Systems", IEEE Journal on Selected Areas in Communications, vol. 26 no. 3, April 2008.