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One approach on ECC identification problem in a complex telecommunication system

机译:复杂电信系统中ECC识别问题的一种方法

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The task of the definition of an a priori unknown Error Correcting code is one of the major tasks for governmental radio control authorities. In particular, the case of the choice of the most probable ECC from the predefined ECCs set. The SA-method (Syndromes analysis method) is suggested to solve the issue. This method is based on the sequences syndrome analysis. Here are given basic results, which were received by statistic simulation method. It's proposed to replace it with much easier (in terms of algorithmic and computational complexity) and equipotential new method based on syndromes computation. For proposed syndrome ECC identification's method (SA-method) we have stated truth criterion for hypothesis (on received potentially corrupted code words): hypothesis should be truth when the zero syndrome's number is not above decision threshold, that depends on investigated ECC parameters and channel bit error probability. We also have found analytical formulas, which define alpha and beta errors' probabilities. The estimation on computational complexity for SA-method have allowed us to conclude that this method is practice-relevant for solving mentioned above problems (i.e. in case of known possible ECC set), and which is quite acceptable to be realized on modern cheap DSP. The proposed ECC's identification SA-method for solving radio emission monitoring problems has extended application area (in comparison with basic method) and easier implementation. Moreover SA-method may be used in practice on radio channels (including channels with high level if noise) for identification both binary and nonbinary ECCs, as well as modem codec's part for ECC switching tracking purposes, as well as for block synchronization purposes.
机译:定义先验未知纠错码的任务是政府无线电控制机构的主要任务之一。特别是从预定义的ECC集合中选择最可能的ECC的情况。建议使用SA方法(综合征分析方法)来解决此问题。该方法基于序列校正子分析。这里给出了基本结果,这些结果是通过统计模拟方法获得的。提议用更容易的方法(在算法和计算复杂度方面)和基于校正子计算的等势新方法替换它。对于建议的综合症ECC识别方法(SA方法),我们已经陈述了假设的真相标准(针对接收到的可能损坏的代码字):当零综合症的数量不超过决策阈值时,假设应为真,这取决于调查的ECC参数和通道误码率。我们还发现了解析公式,该公式定义了alpha和beta错误的概率。 SA方法的计算复杂度的估计使我们得出结论,该方法对于解决上述问题(即在已知的可能的ECC集的情况下)与实践相关,并且在现代廉价DSP上实现是可以接受的。所提出的用于解决无线电发射监测问题的ECC识别SA方法扩展了应用领域(与基本方法相比)并且易于实施。此外,SA方法实际上可以在无线电信道(包括噪声较高的信道)上用于识别二进制和非二进制ECC,以及调制解调器编解码器部分用于ECC切换跟踪目的以及块同步目的。

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