论文部分内容阅读
在现代密集信号环境中,信号的分选速度是电子对抗系统信号处理的关键因素,除了提高分选逻辑电路的速度、设计优良的分选算法,提高计算机的计算速度以外,目前国外普遍采取的办法是,设法降低最终进入处理机的脉冲数据速率。这是在目前小型专用处理机和分选硬件的有限速度情况下,分选密集信号环境的一个行之有效的办法,也是近年来国外研究和发展雷达对抗系统信号处理技术的一个重点。本文系统地介绍了解决此问题的各种方法,其中包括:1.脉冲预分选;2.采用缓冲存储器平滑数据流的起伏变化;3.采用预处理机;4.用重频数字滤波器稀释脉冲流;5.采用剔除式处理机;6.使用相联存储器;7.多维参数矩阵比较法;8.三维参数图型变换和自适应图型算法;9.采用新处理机构。
In the modern intensive signal environment, the signal sorting speed is the key factor in the electronic countermeasure system signal processing. In addition to improving the speed of the sorting logic circuit, designing an excellent sorting algorithm and improving the computing speed of the computer, The solution is to try and reduce the pulse data rate that eventually enters the processor. This is an effective way to sort dense signal environment under the current limited speed of small specialized processors and sorting hardwares and is also a focus of research and development of radar countermeasure system signal processing technology in foreign countries in recent years. This article systematically describes the various ways to solve this problem, including: 1. Pulsed pre-sorting; 2. The use of buffer memory to smooth the fluctuations of the data stream; 3. The use of pre-processor; 4. With the re-frequency digital filter Dilution of pulsed flow; 5 using the rejection processor; 6 using the associated memory; 7 multi-dimensional parametric matrix comparison method; 8 three-dimensional parameter pattern transformation and adaptive graph algorithm; 9 using a new processing mechanism.