改进排名选择算法

A. A. Moiseev
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摘要

问题陈述。摘要综合了在信号源非均匀性和复杂干扰条件下(包括可能存在的相互干扰)选择无线电发射模式的排序算法。综合的目的是确保模式识别与射电发射观测的特定特征的独立性。算法输入是主要的信号处理结果,包括脉冲持久性、频率和振幅动态以及绝对变化等估计。初级决策统计是由这些值组成的:可观察的信号基和频率和幅度的关系变化。二次统计量是在一次统计量的基础上,利用中值和递归平滑或最大值和递归平滑形成的。在多阈值过程中,每个决策统计量被转换成一排秩,其大小对应于识别模式的数量。总的来说,这些行形成了一个排名表(矩阵),冒号表示已识别模式的离散描述。流畅的观测处理包括用于决策统计的等级形成。模式识别要么按照排位表执行,要么使用额外的投票程序2/3。另一种方法包括构造当前和参考级别的曼哈顿不匹配度量,并对最小不匹配度量的标准做出决定。使用不平衡度量最小准则对这种比较的结果进行模式识别。排序过程框架中的阈值在排名表形成时启发式地形成。然后将它们用于可观测模态的流畅秩形成。数值实验表明,最大滤波和递归滤波能够准确地选择所有可观测模态。该滤波由滑动窗口的最大选择和随后的递归一阶滤波组成。这种过滤的另一个优点是,与中值选择相比,可以更简单地选择最大值。从角度来看,它可以提供更高的操作速度。实际意义。结果表明,在非均质辐照源观测中,等级选择是有价值的。算法的强度是指在复杂情况下的决策简单性。另外的算法优势是扩展替代辐照模式的可能性,因此,更有代表性的数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved rank selection algorithm
Problem statement. A rank algorithm for selecting radio emission modes for operation in conditions of heterogeneity of sources and complex interference conditions, including the possible presence of mutual interference, is synthesized.Objective. The synthesis purpose is to ensure the independence of mode recognition from particular features of radio emission observation. Algorithm input is the primary signal processing result that includes such estimations as pulses durability, frequency and amplitude dynamics, and absolute variations. Primary decision statistics are formed using these values: observable signal base and relation variations of frequency and amplitude. Secondary statistics are formed based on primary ones using median and recursive or maximum and recursive smoothing. Each of the decision statistics in the multi-threshold procedure is transformed into a row of ranks, the size of which corresponds to the number of recognized modes. In aggregate, these lines form a ranking table (matrix) with colons representing recognized modes’ discrete descriptions. Fluent observation processing includes rank formation for used decision statistics. Mode recognition is performed either following a ranking table or using an additional voting procedure 2/3. An alternative approach consists of constructing the Manhattan mismatch metric of the current and reference ranks and making a decision on the criterion of the minimum mismatch metric.Results. Mode recognition performed on results of this comparison using unbalance metrics minimum criterion. Thresholds in frames of the ranking procedure are formed heuristically at ranking table formation. They are then used at fluent rank formation for observable modes. The performed numerical experiment shows that maximal and recursive filtration provides an errorless selection of all observable modes. This filtration represents the composition of maximum selection in sliding window and subsequent recursive first-order filtration. An additional advantage of this filtration is a simpler maximum selection in comparison with the median one. In perspective, it can provide increased operating speed.Practical implications. Performed consideration shows that rank selection is worthwhile at the observation of heterogeneous irradiation sources. Algorithm strength is decision simplicity in a complex situation. Additional algorithm advantage is the possibility of extending alternative irradiation modes and, hence, for more representative data sets.
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