摘要
宽带雷达具有很高的距离分辨率,可以提供丰富的目标信息,但数据量和计算量大成为制约宽带信号实时处理的瓶颈.Rabinkin等人提出了过采样子带脉冲压缩(Over-Sampling Subband Pulse Compression,OSSPC)系统,为解决宽带信号的实时脉冲压缩提供了新的研究方向.本文系统介绍了OSSPC系统,给出了它的设计方法,分析了OSSPC系统的计算复杂度,推导了它的Amdahl加速比公式.在此基础上,本文将OSSPC系统引入合成孔径雷达的距离多普勒(Range-Doppler,RD)成像算法,得到一种新的并行子带RD处理结构,并用计算机仿真验证了它的可行性.
Wide-band radar has high range-resolution, and we can get more detailed information from its reflection echoes. But excessive computation and data storage limit its real-time processing. Rabinkin suggested an oversampling subband pulse compression(OSSPC) approach to overcome the disadvantage. In this paper, OSSPC's structure and optimization method were introduced at first, and then we analyzed the computation complexity of each subband and offered a formula to calculate the Amdahl accelerated rate. Secondly, a subband Range-Doppler algorithm was introduced at last, and its validity was confirmed by computer simulation.
出处
《中国科学院研究生院学报》
CAS
CSCD
2008年第5期620-625,共6页
Journal of the Graduate School of the Chinese Academy of Sciences
关键词
过采样
子带脉冲压缩
加速比
距离-多普勒算法
over-sampling, subband pulse compression, accelerated-rate, range-Doppler