基于自适应门限修正PRI变换的雷达信号分选算法

    An Algorithm for Radar Signal Selection Based on Adaptive Threshold Correction PRI Transform

    • 摘要: 随着无线电领域的发展,在面临多个雷达信号同时存在时很难快速准确地分选出目标雷达信号,传统雷达信号分选算法是已知脉冲信号到达时间,而在现实信号分选中常出现时域重叠的多个雷达信号,无法对到达时间进行准确的判断。文中针对该问题提出了一种综合算法,通过基于自适应门限的到达时间检测获取多个雷达信号的到达时间,结合修正脉冲重复间隔变换对雷达信号进行分选,并通过仿真信号、实采信号进行验证。结果表明,本文提出的雷达信号分选综合算法能够有效地对雷达脉冲信号进行分选。

       

      Abstract: With the rapid development of the radio field, it is challenging to sort out target radar signals quickly and accurately when multiple radar signals coexist simultaneously. Traditional radar signal sorting algorithms rely on the known time of arrival (TOA) of pulse signals; however, in practical signal sorting scenarios, multiple radar signals with time-domain overlap frequently occur, which makes the accurate determination of TOA impossible. Therefore, a comprehensive algorithm is proposed in this paper. Specifically, the TOA of multiple radar signals is acquired through TOA detection based on an adaptive threshold, and radar signal sorting is implemented by combining the modified pulse repetition interval (PRI) transform. To verify the effectiveness of the proposed algorithm, experiments are carried out using simulated signals and actually collected signals. The experimental results demonstrate that the comprehensive radar signal sorting algorithm proposed in this paper can effectively sort radar pulse signals with high reliability.

       

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