Sofiane Landi
Design of FPGA-based TurboProduct Iterative Decoder basedon Polar Codes.
Rel. Guido Masera, Maurizio Martina. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2020
Abstract
Nowadays considering the large transmission infrastructures of data that travel at very high speeds, they must be transferred with considerable efficiency. Important results have been achieved almost at the limit of the maximum capacity of the transmission channel with different types of Error Correction Code (ECC), although they have never fully saturated it. Polar coding is a low-complexity channel coding method that can provably achieve Shannon’s channel capacity for any binary-input discrete memory-less channels (B-DMC). Apart from the theoretical interest in the subject, polar codes have attracted attention for their potential applications. Moreover, product codes are parallel concatenated codes usually used in optical communications for their good error correction performances and high throughputs, thanks to their parallelizable decoding process.
In that master thesis, it has been illustrated a high throughput Turbo Product decoder for polar codes based on the Soft Cancellation algorithm decoding, which has been proposed in [5] which is an iterative message passing decoder, set on the Successive Cancellation classic schedule for the Decoding process of Polar Codes
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