In this thesis, an improvement strategy of a turbo decoding system with Multiple Symbol Differential Detector (MSDD) of correlated Rayleigh fading QPSK is proposed.
The main task of MSDD is to estimate the channel states and send to turbo decoder.
In addition, MSDD can also utilize the information output from turbo decoder.
Due to the information exchange between MSDD and turbo decoder, the channel estimation can be improved with each decoding iteration resulting in better performance of decoding process.
The main idea in improving the performace of turbo decoding system with MSDD is to transmit data bit and associated coded bit into different QPSK symbols in order to avoid the case that both bits are corrupted over fading channel. With this proposed system, the new decoding scheme has to be derived accordingly.
However, the channel information calculated from MSDD can still be used by turbo decoder.
Based on the results from computer simulations, it is found that the performance of the proposed decoding system is better than that of the original decoding system for fading rate of 0.01 0.125 and 0.200.
Especially for slow fading at fading rate equals to 0.01, the proposed decoding system can lower the bit error rate down by 3 orders of magnitude.
In this thesis, an improvement strategy of a turbo decoding system with Multiple Symbol Differential Detector (MSDD) of correlated Rayleigh fading QPSK is proposed. The main task of MSDD is to estimate the channel states and send to turbo decoder. In addition, MSDD can also utilize the information output from turbo decoder. Due to the information exchange between MSDD and turbo decoder, the channel estimation can be improved with each decoding iteration resulting in better performance of decoding process. The main idea in improving the performace of turbo decoding system with MSDD is to transmit data bit and associated coded bit into different QPSK symbols in order to avoid the case that both bits are corrupted over fading channel. With this proposed system, the new decoding scheme has to be derived accordingly. However, the channel information calculated from MSDD can still be used by turbo decoder. Based on the results from computer simulations, it is found that the performance of the proposed decoding system is better than that of the original decoding system for fading rate of 0.01 0.125 and 0.200. Especially for slow fading at fading rate equals to 0.01, the proposed decoding system can lower the bit error rate down by 3 orders of magnitude.
การแปล กรุณารอสักครู่..
