双基地稀疏MIMO雷达在轨探测超高速运动空间碎片的方法研究

项目名称： 双基地稀疏MIMO雷达在轨探测超高速运动空间碎片的方法研究

项目编号： No.61302188

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 陈金立

作者单位： 南京信息工程大学

项目金额： 24万元

中文摘要： 利用天基雷达对中小尺度空间碎片探测是目前的研究热点。如何在质量功耗和体积有限的搭载平台上实现大功率、高分辨、高灵敏度的毫米波雷达，就成为天基雷达探测的关键技术。为解决相控阵雷达在轨探测空间碎片时探测性能与搭载平台限制之间的矛盾，本课题提出双基地稀疏MIMO雷达在轨探测超高速运动空间碎片的研究设想。为了降低双基地稀疏MIMO雷达的峰值旁瓣电平，本研究拟通过把在一定约束条件下最小化峰值旁瓣目标函数转化为二阶规划标准形式，并利用凸优化方法对发射阵列和接收阵列进行优化。针对基于校正回波包络走动的长时间相参积累方法在轨探测超高速运动空间碎片时其效能有限的问题，本研究拟通过设计大多普勒容限的虚拟阵列形成方法，并采用降低距离分辨力与压缩感知算法相结合的双基地联合测向方法，在短回波积累时间内对低信噪比情况下的空间碎片进行高精度交叉定位。可以说，本项目是一项既有科学研究价值，又有一定技术应用前景的基础课题。

中文关键词： MIMO雷达；空间碎片；阵列综合；大多普勒容限滤波器；强跟踪粒子滤波

英文摘要： The detection of middle and small scale space debris using space-based radar has been recently become a hot research area. The key technology of space-based radar is how to implement the millimeter wave radar with high power, high resolution and high sensitivity that is equipped on the platform with limited power and weigth. In order to solve the contradiction between the detection performace of phased-array radar that is exploited to detect space debris in-orbit and the restriction of the carrying platform, the research idea for ultra-high speed moving space debris in-orbit detection using bistatic MIMO radar with sparse arrays is proposed in this project. In order to reduce the peak sidelobe level of bistatic MIMO radar with sparse arrays, the objective function for minimazing peak sidelobe is converted into the standand form of a second-order program, and then the transmit array and receive array are optimized by the convex optimization method. It is difficult for the coherent integration method based on the range migration correction to detect ultra-high speed moving space debris in-orbit within a long coherent observation period. In this project, by designing the virtual array forming method with large Doppler tolerance and exploiting a joint direction of departures (DODs) and direction of arrivals (DOAs)

英文关键词： MIMO radar；space debris；array synthesis；large Doppler tolerance filter；strong tracking particle filter