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目前,传统航空测控通信所采用的纠错码大多是建立在高斯信道基础上的。然而,航空测控环境中不可避免存在着多种尖锐的噪声,测控通信纠错码的可靠性能在非高斯信道中尚未得到充分的研究。分析了一类国际航空遥测的分组Turbo码(BTC)在拉普拉斯白噪声信道下的译码和性能。将传统Chase迭代译码算法引入到拉普拉斯白噪声信道中,建立相应的数学模型,同时,基于该数学模型设计了3种不同的译码接收器下的BTC译码方案。仿真结果验证了该数学模型的正确性与可行性,在误码率为10-4时最佳译码方案相比于硬限幅接收机有3.7dB的增益,相比原有的高斯信道下的接收机仅有0.6dB的性能损失。
At present, most of the error correction codes used in traditional air traffic control and communication are based on Gaussian channels. However, many kinds of sharp noises are unavoidable in the environment of airborne measurement and control. The reliability of the error-correcting codes for measurement and control communication has not been fully investigated in non-Gaussian channels. The decoding and performance of a class of international telemetry packetized Turbo codes (BTC) under Laplace white noise channel are analyzed. The traditional Chase iterative decoding algorithm is introduced into the Laplacian white noise channel to establish the corresponding mathematical model. At the same time, three different BTC decoding schemes for decoding receiver are designed based on the mathematical model. Simulation results verify the correctness and feasibility of the mathematical model, the optimal decoding scheme at the bit error rate of 10-4 has a gain of 3.7dB compared with the hard-limit receiver, compared with the original Gaussian channel The receiver is only 0.6dB loss of performance.