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作 者:隋景鹏[1] 靳小琴 舒东亮 马若顺 Sui Jingpeng;Jin Xiaoqin;Shu Dongliang;Ma Ruoshun(Department of Navel Equipment,Beijing 100081,China;Csic-the 707TH Research Institute*Tianjin 300000,China)
机构地区:[1]海军装备部,北京100081 [2]中国船舶重工集团公司第七〇七研究所卫星导航部,天津3000000
出 处:《电子测量技术》2020年第17期115-119,共5页Electronic Measurement Technology
摘 要:天地波和周期识别是罗兰C信号处理中最关键的环节,而现有的识别方法抗干扰能力较弱,识别成功率低。为了解决上述问题,提出一种改进优化包络相关的天地波周期联合识别方法,该算法以优化包络相关函数为基础,通过首峰值检测得到地波信号的粗略达到时间,进而通过正峰值比精确定位罗兰C脉冲信号第三周期,从而实现天地波周期的联合识别。仿真结果表明,改进后算法在抗噪声和天波干扰性能方面具有明显的优越性,最低信噪比要求比传统方法降低4 dB,并且正常工作条件下无错周风险。The identification of sky-ground wave and cycle is the most important part in Loran-C signal processing.However,the existing recognition methods have weak anti-interference ability and low recognition success rate.In order to solve the above problems,an improved optimized envelope correlation method for joint identification of sky-ground wave and cycle is proposed.Based on optimized envelope correlation function,the rough arrival time of ground wave signal is obtained by detecting the first peak value,and then the third cycle of Loran-C pulse signal is accurately determined by positive peak ratio,so as to realize the joint identification of sky-ground wave and cycle.Simulation results show that the improved algorithm has obvious advantages in suppression performance of noise and sky wave interference,the minimum signal-to-noise ratio requirement is 4 dB lower than the traditional method,and there is no risk of cycle error under normal working conditions.
分 类 号:TN966.2[电子电信—信号与信息处理]
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