Design and Simulation of Punctured Woven Convolutional Codes

Woven convolutional codes (WCCs) is a novel class error-correcting codes with high compatibility. But woven convolutional codes has some disadvantages, such as lower coding efficiency, higher decoding delay, and complexity of hardware realization. These flaws restrict the applications of WCCs. In this paper the puncturing technology is employed to enhance the coding efficiency and promote the application of WCCs. The puncturing technology is used to punctured outer warp and inner warp at first, respectively. Over additional white Gaussian noise (AWGN) channel, simulations show that the performance of punctured WCCs with outer warp is better than that of non-punctured WCCs with outer warp in same rate and same number outer encoders, and the complexity of encoding and decoding for WCCs based on puncturing is reduced greatly and the coding efficiency is improved.