Performance Analysis of DVB-T2 System Based on MIMO Using Low Density Parity Check (LDPC) Code Technique and Maximum Likelihood (ML) Detection

The MIMO (Multiple Input Multiple Output) system works very well on multipath components. Some multipath components are exploited to increase bandwidth diversity and efficiency. In addition, this system also provides a significant increase in data throughput and communication coverage without expand the frequency and transmit power. Even so, this system is still vulnerable to InterSymbol Interference. Low Density Parity Check (LDPC) technique which is has the ability to correct errors near the Shannon limit (theoretical maximum error correction limit) and Maximum likelihood (ML) detection which is able to provide performance minimum bit errors are believed to be able to handle interference arising when passing through a channel.This research made a MIMO 2X2 simulation system on DVB-T2 technology with LDPC coding technique and Maximum Likelihood detector. The results obtained from running this simulation system indicate that the system which is has smaller rate is the better system. The ideal system without error correction code shows the Maximum Likelihood performance forming a waterfall curve and no more errors at 20 dB. While the system with LDPC and Maximum Likelihood is able to reaches BER (bit error rate) 10^-2 at SNR (Signal to Noise Ratio) around 1 dB from the 1/2 rate system, and the 3/4 rate system reaches BER 10^-2 at around 4 dB, and the 5/6 rate system reaches BER 10^-2 at SNR around 6 dB.