Improved convolutional coding and decoding of IEEE802.11n based on general purpose processors

In this paper, the convolutional coding and decoding of 802.11n are improved on general purpose processor (GPP) software defined radio(SDR) platforms. The prototype makes extensive use of features of contemporary processor architectures to accelerate signal processing and satisfy protocol real-time requirements of IEEE802.11n, including large low-latency caches to store lookup tables, and single instruction multiple data (SIMD) processor on GPPs. In the prototype, the Viterbi decoder employs the parallel structure and trace back decoding algorithm to improve performance. The simulation results show the prototype can satisfy the performance and real-time requirement of IEEE802.11n. Considering the rapid development of GPP, data processing capacity of our prototype will be further improved.