Radar signal sorting is a significant issue in electronic countermeasures.
在电子对抗领域，雷达信号分选的研究是一个重要课题。
After analyzing ICA algorithm, a new method of the radar signal sorting based on independent component analysis is proposed.
在深入分析ICA算法的基础上，提出了将其用于雷达信号分选的新思路。
This paper introduces a multi-parameter synthetic signal sorting algorithm in order to overcome the limitation of traditional radar signal sorting algorithms.
为克服传统信号分选算法的局限性，本文提出了一种多参数的综合分选算法。
In order to solve the contradiction between the accuracy and the real time in radar signal sorting, a dynamic signal sorting frame based on data stream clustering is proposed.
为了解决雷达信号分选中准确性与实时性相矛盾的问题，提出了一种基于数据流聚类的动态信号分选框架。
Radar signal sorting is a key technology of radar reconnaissance. The probability of radar signal sorting becomes an important indicator of radar reconnaissance system performance.
雷达信号的分选是雷达侦察中的一项关键技术，信号分选概率也日渐成为衡量侦察系统性能的重要指标。
The PRI transfer algorithm and wavelet transfer algorithm is analysed firstly, then a method of radar signal sorting is proposed in this paper based on the advantages of the two algorithms.
分析了脉冲重复间隔（PRI）变换算法和小波变换算法的基本原理，针对两种算法在雷达信号分选中的优缺点，提出了一种基于PRI变换和小波变换相结合的雷达信号综合分选方法。
The paper realizes the sorting of radar signal by the ANN based on immune evolutionary algorithms.
介绍采用基于免疫进化算法的神经网络对雷达信号分选的实现方法。
Sorting algorithm based on PRI is one of the key technologies to sort and recognize the intercept signal from the current radar countermeasure systems.
脉冲重复间隔(PRI)分选算法是当前雷达对抗系统分选、识别截获信号的关键技术之一。
Sorting algorithm based on PRI is one of the key technologies to sort and recognize the intercept signal from the current radar countermeasure systems.
脉冲重复间隔(PRI)分选算法是当前雷达对抗系统分选、识别截获信号的关键技术之一。
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