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Performance Analysis of Low-Density Parity-Check Codes Aided Block Diagonalization using Space Time Block Codes for MIMO Systems
Mahadasa Jhansi Madhuri1, Buddaraju Revathi2, Manthena Yaswanthi3

1M.Jhansi Madhuri, BE Student, Department of Electronics and Communication Engineering, SRKR Engineering College, Bhimavaram (Andhra Pradesh), India
2Buddaraju Revathi, Assistant Professor, Department of Electronics and Communication Engineering, SRKR Engineering College, Bhimavaram (Andhra Pradesh), India
3M.Yaswanthi, BE Student, Department of Electronics and Communication Engineering, SRKR Engineering College, Bhimavaram (Andhra Pradesh), India
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1381-1385 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3899048619/19©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 Input Multiple Output (MIMO) systems are used to assure high spectral efficiency, huge data rate, improved channel capacity and low error rates. Forward error correction coding is required in communication systems for the efficient transmission of data. One of such code is Low-Density Parity-Check codes. Block Diagonalization is used as a precoding technique which reduces Multi-User Interference and Space-Time Block Codes decreases the signal fading effects. The combination of both can effectively mitigate channel impairments. Hence, for the MIMO systems, we have proposed a technique which is Low-Density Parity-Check codes aided Block Diagonalization using Space-Time Block Codes by assuming that the channel state information is known. Low-Density Parity-Check codes provide efficient coding when compared with the other encoding techniques even in rank deficient scenarios.
Keyword: Binary Phase Shift Keying (BPSK), Block Diagonalization (BD), Inter Symbol Interference (ISI), Low-Density Parity-Check (LDPC) codes, Minimum Mean Square Error (MMSE), Multi-User Interference (MUI), Signal to Noise Ratio (SNR), Quadrature Phase Shift Keying (QPSK), Quadrature Amplitude Modulation (QAM), Singular Value Decomposition (SVD), Space Time Block Codes (STBCs), Trellis Coded Modulation (TCM) and Zero Forcing (ZF).
Scope of the Article: Measurement & Performance Analysis