摘要
基于单基地MIMO雷达阵列信号模型,针对非圆信号波达方向(DOA)估计问题,提出了一种降维的非圆求根多重信号分类(MUSIC)方法。该方法对接收数据进行降维处理,去除其中冗余信息,在几乎不影响算法性能的情况下,降低计算复杂度;利用非圆信号特性,进行阵列扩展,提高数据利用率,增大阵列孔径,最大可估计信源数增加一倍;采用求根类的方法,避免谱峰搜索,进一步降低计算量。仿真结果表明,该方法计算效率高,测角精度、分辨力、最大可估计信源数等均优于传统算法。
A dimension-reduced multiple signal classification（ MUSIC）-based DOA estimation method using polynomial rooting for non-circular sources is proposed,taking account of the direction of arrival（ DOA） estimation for monostatic multiple-input multiple-output（ MIMO） radar. A dimension-reduced operation,which reduces computation cost but has almost no harm to the performance of the algorithm,was done to the received data to remove redundancy; the maximum detectable number of targets was doubled after utilizing the non-circular characteristic of the signals to expand the virtual array aperture; polynomial rooting,which avoids peak searching,was applied to furthermore lower computation cost. Simulation results verify the computational efficiency of the method and its superiority in precision,resolution and maximum detectable number of targets over the traditional methods.
出处
《应用科技》
CAS
2016年第1期5-8,共4页
Applied Science and Technology
基金
中国博士后科学基金资助项目(3236310163)
关键词
阵列信号处理
波达方向
MIMO雷达
非圆信号
多项式求根
array signal processing
direction of arrival
MIMO radar
non-circular signal
polynomial rooting
