摘要
脉冲重复间隔是雷达信号分选的关键参数。改进的PRI变换法克服了直方图统计法的子谐波问题,对脉冲重复间隔具有很高的估计精度,且具有一定的抗抖动能力。由于需要进行大量的指数运算和复数运算,故PRI变换法运算速度较慢,难以满足实时性要求。本文分析了改进的PRI变换法,提出了一种用于该算法并行处理的任务分配原则,并在TS201S平台上实现了改进的PRI变换算法。实验结果表明,基于该任务分配原则的PRI变换法并行处理大大提高了运算效率,能满足实时性要求。
The pulse repetition interval (PRI) of radar signal is an important de-interleaving parameter. The improved PRI transform estimates PRI with high precision, overcomes the sub-harmonic problem produced in the histogram methods, and has a better performance on anti-jitter. It takes a lot of time to perform the algorithm due to the mass computation of exponent and complex number, which cannot meet the need of real-time. This paper analyzes the improved PRI transform algorithm,proposes a principle of task assignment for parallel processing and implements the algorithm based on TS201S platform. The experiment results have shown that the parallel processing algorithm for PRI transform improves operational efficiency greatly and can be employed in many real-time applications with high operation precision.
出处
《信号处理》
CSCD
北大核心
2009年第11期1771-1774,共4页
Journal of Signal Processing
基金
国防科技重点实验室基金项目资助课题(9140C8001020602)
关键词
PRI变换
信号分选
DSP
并行处理
PRI transform
signal de-interleaving
DSP
parallel processing