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空时编码阵波束域超分辨角度估计方法
引用本文:王华柯,廖桂生,许京伟,朱圣棋. 空时编码阵波束域超分辨角度估计方法[J]. 系统工程与电子技术, 2019, 41(7): 1433-1440. DOI: 10.3969/j.issn.1001-506X.2019.07.01
作者姓名:王华柯  廖桂生  许京伟  朱圣棋
作者单位:西安电子科技大学雷达信号处理国家重点实验室, 陕西 西安 710071
基金项目:国家自然科学基金(61621005)资助课题
摘    要:空时编码阵(space-time coding array,STCA)雷达通过在相邻阵元间引入时间延迟,在发射单一波形的条件下可实现全向空域的有效覆盖,工程上易于实现。针对STCA雷达体制,提出了一种基于发射维空间自由度的波束域超分辨角度估计方法。通过分析STCA多维模糊函数,设计了接收端的角度-时间二维匹配滤波器,因而在接收端等效形成发射多波束,获得发射维空间自由度,进而设计相应的波束域搜索导向矢量,基于波束域多重信号分类(multiple signal classification, MUSIC)算法实现了STCA等效发射端的超分辨角度估计。仿真结果验证所提方法的有效性。

关 键 词:空时编码阵  多维模糊函数  角度-时间二维匹配滤波  波束域多重信号分类

Beam space MUSIC spectral estimation method based on the space time coding array
WANG Huake,LIAO Guisheng,XU Jingwei,ZHU Shengqi. Beam space MUSIC spectral estimation method based on the space time coding array[J]. System Engineering and Electronics, 2019, 41(7): 1433-1440. DOI: 10.3969/j.issn.1001-506X.2019.07.01
Authors:WANG Huake  LIAO Guisheng  XU Jingwei  ZHU Shengqi
Affiliation:National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China
Abstract:Space time coding array (STCA) radar introduces a relative time shift through elements, which can form a wide beam with full angular coverages by transmitting a single waveform. Based on the space time coding array radar system, a super resolvable angle estimation algorithm in beam space by using the degrees of freedom in transmit domain is proposed. Initially, by analyzing the multi dimensional ambiguity function, the two dimensional angle time matched filter is designed in the receiver. As a result, multiple beams can be equivalently formed in the receiver which can acquire controllable transmit freedoms. Then, the corresponding search steering vector in beam space is devised. Finally, the beam space MUSIC algorithm is adopted to make spatial spectrum estimation on equivalent transmitter in STCA. The simulation results can demonstrate the effectiveness of the proposed method.
Keywords:space time coding array (STCA)   ambiguity function   two dimensional angle time matched filter  beam space multiple signal classification (MUSIC)  
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