INTERATIVE (TURBO) DECODING OF THRESHOLD DECODABLE CODES

In this paper we extend the idea of iterative decoding of two-dimensio nal systematic convolutional codes - so-called ''turbo'' codes - to th reshold decoding. A threshold decoding algorithm is presented which us es soft information from the channel and a priori values in order to g enerate soft outputs. A soft output value can be split into three term s. The first two terms represent the soft input including the a priori value, while the third is called extrinsic value. The extrinsic value is passed on as a priori information to the following decoder. Surpri singly good simulation results were obtained for the Gaussian channel and the fully interleaved slowly Rayleigh fading channel.