Space Time Block Code for High Data Rate Using CD Algebra
Ranjana Kumari1, Rajesh Mehra2
1Ranjana Kumari, Department of Electronics & Communication Engineering, B.B.D.I.T, Ghaziabad (U.P), India.
2Rajesh Mehra, Associate Professor, Department of Electronics & Communication Engineering, National Institute of Technical Teachers, Training & Research, (Chandigarh), India.
Manuscript received on 10 July 2013 | Revised Manuscript received on 18 July 2013 | Manuscript Published on 30 July 2013 | PP: 169-174 | Volume-3 Issue-2, July 2013 | Retrieval Number: B1050073213/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Multiple antennas at both Transmitter and receiver end of wireless digital transmission channel may increase the data rate and reliability of the communication. Reliability and high data rate transmission over channels can be achieved by proposed Space Time block code. Determinant and Rank code design has been proposed to enhance the diversity and coding gain. Cyclic Division algebras is a new tool for constructing space time block code, this is non-commutative algebras that naturally yield fully diverse codes. The CDA based construction method usually consists of two steps. First steps are to construct a degree-n cyclic extension over a base field. Second steps are used to find a non-norm algebra integer in base field. Proposed STBC for 4X2, 4X3, 4X4, 8X1 at code rate ‘3/4’ and 16QAM modulation technique are used. This proposed STBC code is compared with Generalized silver code ,silver code ,golden code. Simulation results of symbol error rate for 4 Tx and 8 Tx shows proposed STBC code is good in error performance at offering one dimensional lower decoding complexity by using sphere decoding.
Keywords: Cyclic Algebras, Division Algebras, Full Diversity, Golden Code, Silver Code, Non-Vanishing Determinant, Sphere Decoding.
Scope of the Article: High Performance Computing