摘要
波达方向估计是阵列信号处理的一个重要问题。基于阵列信号的联合稀疏表示模型,首先根据阵列结构建立过完备原子库,然后将阵列接收数据分解到最佳原子上,实现了空域信号DOA的高分辨估计;通过将阵列接收数据进行奇异值分解和采用粗略搜索与精细估计相结合两种方法提高了运算速度。相对于传统算法,本文算法不需要已知信源数目的先验信息,同时可以处理相干信号,并且在少量快拍数下有明显的优势。最后通过仿真实验验证了所提出方法的正确性和有效性。
Estimation of arrival is an important issue in array signal processing.Based on the model of joint-sparse representation of array signals,an overcomplete atom dictionary is established according to the array geometry and then a best matched atom can be found to obtain high-resolution estimation of DOA by sparse decomposition of the array output.The methods of singular value decomposition（SVD） of the data matrix and coarse searching followed with fine estimation reduce the computational complexity.Compared with traditional algorithms,this new algorithm can handle highly correlated sources,does not require the number of sources in advance and exhibits obvious advantages when the number of signal snapshots is small.Simulation results indicate the correctness and effectiveness of the proposed algorithm.
出处
《信息工程大学学报》
2011年第6期713-718,共6页
Journal of Information Engineering University
基金
科研基金资助项目
关键词
稀疏表示
DOA估计
压缩感知
过完备字典
奇异值分解
sparse representation
direction-of-arrival estimation
compressive sensing
overcomplete dictionary
SVD
