电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2013年
8期
1841-1846
,共6页
樊劲宇%顾红%苏卫民%王钊
樊勁宇%顧紅%囌衛民%王釗
번경우%고홍%소위민%왕쇠
双基地MIMO雷达%波离角(DOD)%2维波达角(2D-DOA)%矢量叉积测向%偶极子分离%张量分解
雙基地MIMO雷達%波離角(DOD)%2維波達角(2D-DOA)%矢量扠積測嚮%偶極子分離%張量分解
쌍기지MIMO뢰체%파리각(DOD)%2유파체각(2D-DOA)%시량차적측향%우겁자분리%장량분해
Bistatic MIMO radar%Direction Of Departure (DOD)%2D-Direction Of Arrival (2D-DOA)%Vector cross product direction finding%Noncollocating dipole%Tensor decomposition
该文提出了一种基于2维矢量接收阵列的双基地MIMO雷达系统多目标ADOD(Azimuth Direction Of Departure), ADOA(Azimuth Direction Of Arrival)和EDOA(Elevation Direction Of Arrival)联合估计算法。雷达发射端采用均匀标量线阵,接收端将常规矢量阵元的每个电磁偶极子相互分离构成2维接收阵列。算法通过张量因子分解获取各流形矩阵,并利用ESPRIT算法估计目标的ADOD。文中给出了接收阵列的一种特定阵元排列方式,并改进了矢量叉积法用于估计目标的2D-DOA。与传统方法相比,该文所用阵列结构可通过扩展接收阵列孔径提高雷达的角度估计性能,相互分离的偶极子弱化了传统矢量阵的天线互耦效应。相应算法避免了谱峰搜索,能够自动配对,仿真实验证明了算法的有效性。
該文提齣瞭一種基于2維矢量接收陣列的雙基地MIMO雷達繫統多目標ADOD(Azimuth Direction Of Departure), ADOA(Azimuth Direction Of Arrival)和EDOA(Elevation Direction Of Arrival)聯閤估計算法。雷達髮射耑採用均勻標量線陣,接收耑將常規矢量陣元的每箇電磁偶極子相互分離構成2維接收陣列。算法通過張量因子分解穫取各流形矩陣,併利用ESPRIT算法估計目標的ADOD。文中給齣瞭接收陣列的一種特定陣元排列方式,併改進瞭矢量扠積法用于估計目標的2D-DOA。與傳統方法相比,該文所用陣列結構可通過擴展接收陣列孔徑提高雷達的角度估計性能,相互分離的偶極子弱化瞭傳統矢量陣的天線互耦效應。相應算法避免瞭譜峰搜索,能夠自動配對,倣真實驗證明瞭算法的有效性。
해문제출료일충기우2유시량접수진렬적쌍기지MIMO뢰체계통다목표ADOD(Azimuth Direction Of Departure), ADOA(Azimuth Direction Of Arrival)화EDOA(Elevation Direction Of Arrival)연합고계산법。뢰체발사단채용균균표량선진,접수단장상규시량진원적매개전자우겁자상호분리구성2유접수진렬。산법통과장량인자분해획취각류형구진,병이용ESPRIT산법고계목표적ADOD。문중급출료접수진렬적일충특정진원배렬방식,병개진료시량차적법용우고계목표적2D-DOA。여전통방법상비,해문소용진렬결구가통과확전접수진렬공경제고뢰체적각도고계성능,상호분리적우겁자약화료전통시량진적천선호우효응。상응산법피면료보봉수색,능구자동배대,방진실험증명료산법적유효성。
A novel algorithm for estimation of Azimuth Direction Of Departure (ADOD), Azimuth Direction Of Arrival (ADOA) and Elevation Direction Of Arrival (EDOA) based on bistatic MIMO radar with electromagnetic vector sensors is presented. The linear transmit array composes of multiple scalar sensors with uniform distribution, while the 2D receive array consist of several electromagnetic vector sensor subarrays. Each subarray contains six orthogonally oriented but spatially noncollocating dipoles/loops. With the application of tensor decomposition, the transmit/receive array manifolds are estimated. From the former, a group of multi-targets’ DODs are calculated with an ESPRIT algorithm. An improved vector cross product direction finding algorithm is presented to estimate the targets’ 2D-DOAs, based on the 2D receive array constructed with a presented arrangement of subarrays. The proposed array configuration has great advantage, in spatial aperture extending to refine the estimation accuracy, and in reducing mutual coupling. Corresponding algorithm avoid peak searching and parameter pairing processes. Simulation results are presented to verify the effectiveness of the proposed method.