单星多波束天线下基于压缩感知的多目标干扰定位  

Multi-target Interference Localization Using Single Satellite Multi-beam Antenna Based on Compressive Sensing

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：《电子与信息学报》2021年第7期1872-1878,共7页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61771015)。

摘　　要：针对卫星干扰处理中的多目标定位问题,该文提出基于压缩感知的定位方法。该方法利用目标的空间稀疏性,以及多波束天线在不同信号源方向上的增益不同,仅需要测量接收信号强度便可实现多个干扰的位置识别。研究结果表明,定位性能与节点分布、目标个数、波束覆盖半径、判决门限有关。在给定参数及原对偶内点算法下,该方法可实现1~4个干扰源的空域定位,在信噪比为20 dB时定位精度达到7.7 km,优于经典的旋转干涉仪和空间谱估计测向方法。To cope with the issue of locating multi-target in mitigating satellite interference,a localization method is proposed based on Compressive Sensing(CS).The sources of satellite interference can be identified by using Received Signal Strength(RSS)measurement only,relying on the spatial sparsity of the target source and the fact that multi-beam antenna has different gain at the position of interference.The conclusions show that positioning performance is related to node distribution,target number,coverage radius and decision threshold.Furthermore,over the Primal-Dual Interior Point(PDIP)algorithm,the simulation result represents that the target number is four under certain conditions,and the position accuracy is closed to 7.7 km with SNR of 20 dB.In addition,the study result also confirms that the proposed algorithm is better than the classic methods of Rotating Interferometer(RI)and Direction Of Arrival(DOA)estimation.

关 键 词：压缩感知 单星定位 多目标 多波束天线 接收信号强度 

分 类 号：TN927[电子电信—通信与信息系统]