@article{(Open Science Index):https://publications.waset.org/pdf/14167,
	  title     = {Blind Channel Estimation Based on URV Decomposition Technique for Uplink of MC-CDMA},
	  author    = {Pradya Pornnimitkul and  Suwich Kunaruttanapruk and  Bamrung Tau Sieskul and  Somchai Jitapunkul},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we investigate a blind channel estimation method for Multi-carrier CDMA systems that use a subspace decomposition technique. This technique exploits the orthogonality property between the noise subspace and the received user codes to obtain channel of each user. In the past we used Singular Value Decomposition (SVD) technique but SVD have most computational complexity so in this paper use a new algorithm called URV Decomposition, which serve as an intermediary between the QR decomposition and SVD, replaced in SVD technique to track the noise space of the received data. Because of the URV decomposition has almost the same estimation performance as the SVD, but has less computational complexity.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {1},
	  number    = {3},
	  year      = {2007},
	  pages     = {607 - 610},
	  ee        = {https://publications.waset.org/pdf/14167},
	  url   	= {https://publications.waset.org/vol/3},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 3, 2007},
	}