A Novel Efficient Sphere Decoding with Reed-Solomon Code in MIMO Detection
Mitesh S Solanki1, Shilpi Gupta2, Vinaykumar Singh3
1Mitesh S Solanki, Department of Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India
2Shilpi Gupta, Department of Electronics Engineering, Sardar Vallabhbhai National institute of Technology, Surat, India
3Vinaykumar Singh, Department of Electronics Engineering, Sardar Vallabhbhai National institute of Technology, Surat, India.
Manuscript received on 01 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 July 2019 | PP: 2915-2920 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8909078919/19©BEIESP | DOI: 10.35940/ijitee.I8909.078919
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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: An optimal receiver recovering transmitted signals across a noisy communication channel employs an efficient impact as Sphere Decoding (SD) benchmark to reduce the probability of error. This system can employ a coding strategy for information security where the data symbol space forms a scant lattice. The sparsity structure is resolved through channel code. In this article, motivated by this idea, we present novel efficient detection-decoding combinational techniques using Reed-Solomon (RS) decoding followed by the single tree search (STS) algorithm in SD detection. The simulation results determine that the proposed method of improving the performance of 1.6 dB at the bit error rate (BER) of has a significant impact.
Keywords: Sphere Decoding (SD), Reed-Solomon (RS), Single Tree Search (STS), Bit Error Rate (BER).
Scope of the Article: MIMO Antenna