BTC在高斯和拉普拉斯白噪聲下的譯碼算法研究
[Abstract]:Channel coding plays an important role in wireless communication systems. It can effectively balance the effectiveness and reliability of communication systems. The emergence of block Turbo codes has brought channel coding to a new level and has become one of the most advanced channel coding techniques. The block Turbo codes adopt the soft input output iterative decoding algorithm, which minimizes the error probability of the decoded codewords, and its performance is close to the maximum likelihood decoding. Based on the excellent error-correcting performance of block Turbo codes, it has been widely used in various fields. In addition, there is Laplace noise in the actual system, so it has important reference significance and practical application value to combine it with block Turbo code. Therefore, in this paper, block Turbo codes are fused into Gao Si and Laplacian noise, their error performance and decoding complexity are studied, and a two-parameter threshold adaptive iterative decoding algorithm is proposed. In this paper, based on the coding and decoding theory of block Turbo codes, the performance of different subcodes and interleavers under Gao Si white noise is studied. At the same time, in the multi-source cooperative communication model, the error performance between different relay distances is analyzed by MATLAB simulation. Secondly, in order to meet more requirements, the BTC iterative decoding algorithm is rededuced under Laplace white noise, and its performance is studied, including different receivers, different sampling points and different subcodes. Compared with Gao Si white noise, the performance loss of BTC in Laplacian white noise has been evaluated numerically, which has important reference significance for aircraft communication link budget performance under non-Gao Si noise condition. Then, in order to reduce the average complexity of traditional Chase-II iterative decoding, a novel two-parameter threshold adaptive BTC iterative decoding algorithm is proposed. Different from the traditional iterative decoding algorithm with fixed least unreliable bits p, this algorithm changes the least reliable bit number 1p and 2p of column and column by setting the threshold value of two parameters. With BTC?64,57,4?128,120,4? As an example, MATLAB simulation shows that compared with the traditional Chase-II iterative decoding algorithm, it is better than the traditional Chase-II iterative decoding algorithm. The average decoding complexity of the proposed algorithm is reduced by about 36 when the performance of 0.08dB is reduced. Finally, the paper simulates the FPGA function of BTC encoder and decoder under Laplace white noise. On the platform of ISE Design Suite 14.1 of Xilinx Company, the design and implementation of BTC encoder and decoder are carried out, and the function simulation analysis is carried out by using the Isim which comes with the software. The correctness and feasibility of the hardware module are verified.
【學(xué)位授予單位】:南京航空航天大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN911.4
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