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为解决卫星星上处理平台星上资源有限与Turbo码译码复杂度高的矛盾,该文提出了一种适于卫星星上处理平台的自适应部分译码转发算法,通过降低迭代次数达到减少Turbo码译码器占用资源的目的。该算法的自适应包含2个层面:外层根据信道质量状态动态设定迭代次数范围;内层根据一种新的迭代停止准则提前停止迭代,该停止准则具有计算量小的优点。通过这2个层面的联合自适应,有效地降低了平均迭代次数,相比固定次数的部分迭代译码提高了算法的性能。
In order to solve the contradiction between the limited satellite resources and the high decoding complexity of Turbo codes, this paper proposes an adaptive partial decoding and forwarding algorithm for satellite satellite processing platform, which reduces the number of iterations Turbo code decoder for the purpose of taking up resources. The algorithm includes two levels of adaptation: the outer layer dynamically sets the iteration range according to the channel quality status; the inner layer stops iteration ahead of time according to a new iterative stopping criterion, which has the advantage of small computation. Through these two levels of joint adaptation, the average number of iterations is effectively reduced, and the performance of the algorithm is improved compared with the fixed number of iterations.