ID 原文 译文
6714 首先,结合集群协同作战需求,从完备性、准确性等方面对一致性评估指标进行建模; First of all, the cluster coordinated operational needs, from the aspects of completeness, accuracy and so on modeling for conformity assessment index;
6715 然后,考虑多时刻指标数据的不确定性,构建非线性处理的区间决策矩阵,利用变权理论求取权重; Then, considering the uncertainty of multi-time index data, construct the nonlinear processing interval decision matrix, using the variable weight theory to calculate the weight;
6716 最后,考虑指标的关联性,使用区间数加权Heronian平均算子集结指标数据,利用集结的区间数表征集群态势觉察一致性。 Finally, considering the index of correlation, the use of interval number average weighted Heronian operator assembled index data, using the assembled interval consistency meter collect group of situational awareness.
6717 结果表明,所提指标及方法可以有效分析集群协同态势觉察一致性。 The results show that the proposed indicators and methods can effectively analyze cluster synergy situational awareness consistency.
6718 针对跳频电台指纹特征差异细微、对噪声影响敏感,同时非合作条件下跳频信号的识别训练标签数据不足问题,提出了一种基于合作表征分类器(collaborative representation classifier,CRC)的半监督条件下跳频电台指纹特征识别算法。 For fh radio fingerprint characteristic differences subtle and sensitive to noise effect, at the same time under the condition of non-cooperative frequency hopping signal identification of training the shortage problem of tag data, this paper proposes a characterization of classifier based on cooperation (collaborative representation classifier, CRC) half supervision under the condition of frequency hopping radio fingerprint feature recognition algorithm.
6719 以跳频电台开机瞬态信号的包络特性作为电台个体的指纹特征,利用对噪声"不敏感"的高阶累积量估计来抑制噪声; With frequency hopping radio on the transient signal envelope features as radio fingerprint characteristics of individuals, using the noise "insensitive" higher-order cumulants estimation to suppress the noise;
6720 通过构造半监督条件下的CRC实现对未标定训练数据的有效利用。 By constructing a semi-supervised CRC implementation under the condition of the effective use of training data without calibration.
6721 实验表明,与传统有监督训练相比,该方法在抑制噪声的同时,能够充分利用未标定训练数据特征,对目标特征具有更高的识别率。 Experimental results show that compared with the traditional supervised training, the method to suppress the noise at the same time, can make full use of the calibration training data characteristics, characteristics of target with a higher recognition rate.
6722 宽带雷达回波能提供高距离分辨能力,有助于实现高精度目标跟踪。 Broadband radar echo can provide high range resolution, help to achieve high accuracy of target tracking.
6723 但高分辨导致的目标回波分裂效应和距离跨越效应给目标检测和关联提出严峻挑战。 But split effect caused by high resolution target echo and the distance across the effect to the target detection and associated put forward severe challenges.