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引入近邻约束的自适应门限M/N检测算法
An Adaptive Threshold M/N Detection Algorithm by Introducing Near-Neighbor Constraints
【摘要】 针对高动态、低载噪比环境下,捕获扩频信号会出现伪码相位与载波频率的动态迁移及相关峰值损耗较大等问题,研究了捕获系统中的检测判决模块。首先,通过分析捕获相关结果的统计学特性,确定了不同积累时间对应的自适应门限;其次,考虑信号的高动态特性,对多普勒频率造成的伪码相位偏移进行近邻约束;最后,将近邻约束条件和自适应门限判决方法应用到M/N检测算法中,若N次检测中有M次结果满足自适应门限条件和近邻约束条件,则判断信号捕获成功。理论分析表明,改进后的M/N检测方法在单次检测的虚警率固定时,可使系统的虚警率大幅降低,因此,该方法通过降低单次积累的门限值,提高了检测概率,降低了虚警率。仿真结果表明,改进后的判决策略显著提高了捕获算法的灵敏度,改善了捕获性能。
【Abstract】 In the high dynamic and low carrier-to-noise ratio environment,the dynamic migration of the pseudo-code phase and the carrier frequency will occur in the acquisition result of the spread spectrum signal,and the correlated peak loss is large.This paper studies the detection decision module in the acquisition system.Firstly,by analyzing the statistical characteristics of the correlated acquisition results,the adaptive thresholds corresponding to different integration times are determined.Then,considering the high dynamic characteristics of the signal,the pseudo-code phase offset caused by the Doppler frequency is constrained by neighbors.Finally,the neighbor constraint condition and the adaptive threshold decision method are applied to the M/N detection algorithm.If there are M times in the Ntimes of detection satisfying the adaptive threshold condition and the neighbor constraint condition,then the signal acquisition is judged to be successful.Theoretical analysis shows that the improved M/N detection method greatly reduces the false alarm rate of the system when the false alarm rate of a single detection is determined.Therefore,this method improves the detection probability and reduces the false alarm rate by lowering the threshold of the single integration.The simulation results show that the improved decision strategy significantly improves the sensitivity of the acquisition algorithm and improves the acquisition performance.
【Key words】 adaptive threshold; near neighbor constraint; M/N detection algorithm; false alarm rate; detection decision strategy;
- 【文献出处】 现代应用物理 ,Modern Applied Physics , 编辑部邮箱 ,2019年01期
- 【分类号】V556;TN914.42
- 【下载频次】75