Mean-based Tests And Aymptotic Performance For Digital Communications

A. Sesay
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Abstract

The method proposed is one that is based on the descrepancy of the means under different hypotheses. A hypotheses test is constructed in terms of conditional innovations sequences generated from the received sequence. Observing that the only statistics that change with hypotheses are the conditional means, the problem is treated as a test of the descrepancy of the means. An approximate sequential test is used and the test statistic is shown to be Frasersufficient. Asymptotic probability of error results are obtained using Cramer's theorem for maximum likelihood estimates.
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数字通信的均值测试和渐近性能
所提出的方法是一种基于不同假设下的均值差异的方法。根据接收序列生成的条件创新序列构造假设检验。观察到唯一随假设变化的统计量是条件均值,这个问题被视为对均值不一致的检验。使用近似顺序检验,检验统计量显示为弗雷泽充分的。利用最大似然估计的Cramer定理,得到误差结果的渐近概率。
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