摘要
特征子空间方法由于其降维效果和稳健性的处理能力已广泛应用于波束形成、DOA(波达方向)估计、超分辨处理中。讨论了从雷达回波的时间采样中构建协方差矩阵,分解成干扰子空间和信号噪声子空间,在干扰子空间投影后进行窄带干扰抑制。仿真和实测数据验证了特征子空间方法用于抑制大功率通信干扰的有效性。
The characteristic subspace algorithm is used extensively in beam forming, DOA estimation and super-resolution processing because of its reducing dimension effect and robust processing capability. This paper discussed that constructing the covariance matrix from the radar echo, decomposion of the jamming subspace and signal noise subspace. Finally suppression of the narrowband jamming in the subspace after it is projected is discussed too. The simulation and actual test data verified the characteristic subspace method used in the suppressing of high-power communication jamming is effective via.
出处
《电子工程师》
2008年第5期10-12,24,共4页
Electronic Engineer
关键词
特征子空间
干扰抑制
米波雷达
窄带干扰
characteristic subspace
jamming suppression
meter-wave radar
narrowband jamming
