低信噪比S模式应答信号相关检测方法

发布时间：2018-09-16 19:08

【摘要】：针对低信噪比条件下S模式应答信号检测概率低、虚警概率高的问题,提出一种基于数据包检测、单脉冲匹配滤波和报头多脉冲检测等三次相关检测的增强识别方法。该方法首先利用数据包相关检测得到数据包位置,从而确定报头脉冲的检测门限;然后利用单脉冲匹配滤波对信号进行降噪处理,确定脉冲位置;最后估计脉冲幅度和噪声功率,利用多脉冲相关检测识别信号报头。通过这三次相关处理,该识别算法可提高S模式应答信号的准确识别率。理论推导了检测概率的数学表达式,通过计算机仿真,在期望虚警概率下,本文方法基本达到了理论检测概率,同时对比了本文方法与传统的直接匹配滤波法、脉冲前沿检测法、基带归一化互相关法的识别性能,验证了本文算法性能的优越性。
[Abstract]:Aiming at the problem of low detection probability and high false alarm probability of S mode response signal under low SNR, an enhanced recognition method based on three correlation detection, such as packet detection, monopulse matched filter and header multi-pulse detection, is proposed. Firstly, the packet position is obtained by packet correlation detection, and the detection threshold of the header pulse is determined. Then, the signal is de-noised by using monopulse matched filter to determine the pulse position. Finally, the pulse amplitude and noise power are estimated, and the multi-pulse correlation detection is used to identify the signal header. Through these three correlation processes, the recognition algorithm can improve the accurate recognition rate of S mode response signal. The mathematical expression of detection probability is derived theoretically. Through computer simulation, under the expected false alarm probability, the method in this paper basically reaches the theoretical detection probability. At the same time, the comparison between this method and the traditional direct matched filter method is given. The recognition performance of the pulse front detection method and the baseband normalized cross correlation method is verified.
【作者单位】：国防科技大学电子科学学院;
【基金】：装备预研基金项目(9140A21040115KG01001) 上海航天科技创新基金项目(SAST2015028)
【分类号】：TN957.51

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