A Method of Parameters Estimation of SCCC Turbo Code

Abstract

The serial concatenated convolutional code (SCCC) structure of Turbo code shows excellent decoding performance in the region of moderate-to-high signal-noise-ratio (SNR), which has been widely applied to many fields, such as deep space communication and so on. So, the recognition of SCCC turbo code is very important in the cognitive radio and information interception. We firstly estimated the parameters of outer encoder by Gaussian elimination and Euclidean algorithm. Then, the proposed method exploits the invariance property between the original data and interleaved data. Parameters of interleaver can be estimated easily by calculating the correlation between the check bits and the data. The computer simulations show that the proposed method has good performance when errors exist in the interception data.