Digital Modeling of Recursive Spectral Filter for Turbo Coding

In the development of wireless communication system, towards error free coding, turbo coding were effectively been used. Turbo coding has an advantage of error detection based on the parity bit coding which improves the error performance in communication system. In the practical realization of such system, turbo chips were developed embedding onto a communication unit, performing the operation of encoding and decoding. In the decode operation, however, signals are estimated based on the magnitudal values and no consideration is made on the communicating signal energy. In the propagation, the signals are affected by different noise effects which minimize the energy content of the signal. This degradation leads to miss-interpretation of the original data. To overcome this issue a spectral turbo coding, developed for embedding chip is proposed. The spectral turbo code has a significant advantage of signal coding using successive filtration in signal estimation. To realize the approach, the suggested approach is developed in HDL and synthesized over Xilinx targeted FPGA.