摘要
针对传统单星定位中,参数估计和目标定位被分为两个独立阶段造成定位不优化的问题,提出了一种采用空间稀疏性的单星无源定位方法。该方法通过持续测量目标信号的多普勒频率,利用干扰源位置在地面分布的空间稀疏性,通过构建干扰信号的多普勒频率与地理位置满足的凸优化问题来实现干扰源定位。该定位方法利用了干扰信号的累积时间和干扰源位置的空间分布信息,在一个阶段中完成卫星定位。仿真证实该方法在单星定位中可得到较高的定位精度。
Traditional single satellite geolocation is divided into two separate phases： parameter estimation and target positioning, which causes non-optimal localization. To address this issue, a method of single satellite passive geolocation using spatial sparsity was presented. After continuously measuring the Doppler frequency of the target signal and using the sparse distribution of the interference on the ground, a convex problem achieving geolocation through establishing the relation between Doppler frequency and target position of the interfering signal was introduced. The method leveraged cumulative time and spatial distribution of the interference and geolocation was completed in one phase. The simulations confirm that the proposed method can get high accuracy in single satellite geolocation.
出处
《电信科学》
北大核心
2016年第4期65-69,共5页
Telecommunications Science
关键词
卫星干扰源定位
多普勒频率
空间稀疏性
凸优化
satellite interference geolocation
Doppler frequency
spatial sparsity
convex optimization
