单星定位中采用混沌映射的干扰源位置识别方法  

Identification of interference source for single satellite geolocation using chaotic mapping

作　　者：张轶 翟盛华[1] 陶海红[2] ZHANG Yi;ZHAI Shenghua;TAO Haihong(China Academy of Space Technology(Xi'an),Xi'an 710100,China;National Laboratory of Radar Signal Processing,Xidian University,Xi'an 710071,China)

机构地区：[1]中国空间技术研究院西安分院,西安710100 [2]西安电子科技大学雷达信号处理国家重点实验室,西安710071

出　　处：《航空学报》2022年第7期335-346,共12页Acta Aeronautica et Astronautica Sinica

基　　金：国家自然科学基金(61771015)。

摘　　要：针对卫星通信中的连续大功率干扰定位问题,提出基于混沌映射的单星干扰源位置识别方法。该方法利用混沌振子的初值敏感性进行信号相关性分析,可有效降低卫星下行链路动态变化对上行链路的影响,进一步提升干扰源识别性能。通过对实测数据进行统计分析,结果表明不同混沌映射下,信号相关算法的复杂度和定位性能不同。在给定判决门限下,该定位模型可实现75%的干扰源识别概率,且定位成功率和定位精度分别达到65%和23 km,优于现有的量子衍生算法。To cope with the issue of locating continuous high power interference in satellite communication, an identification of the interference source is proposed based on chaotic mapping. Relying on the initial value sensitivity of chaotic oscillator to analyze signal correlation, the proposed method can effectively reduce the impact of dynamic characteristics of the downlink on the uplink, and further improve the performance of interference source identification. Statistical analysis of the measured data shows that the complexity and localization performance of correlation algorithms are different with different chaotic maps. Moreover, the simulation result shows that with given decision thresholds, the probability of interference source identification is more than 75%;the position accuracy is close to 23 km, with a location probability of 65%.It is also confirmed that the proposed model is better than the existing quantum-inspired algorithm.

关 键 词：干扰源识别 混沌映射 单星定位 信号相关 卫星通信 

分 类 号：V19[航空宇航科学与技术—人机与环境工程] TN927[电子电信—通信与信息系统]