摘要
稀疏表示波达方向(DOA)估计算法具有分辨力高等优点,但是对阵元个数要求高、低信噪比时估计性能恶化严重,不利于在实际系统中应用。为此,提出一种基于实信号特点的稀疏表示波达方向估计算法。首先,建立实值稀疏表示的DOA估计模型,能够将阵元数虚拟加倍;其次,利用正交三角分解对估计模型变型,从而改善低信噪比时的估计性能;最后,利用正交匹配追踪算法得到估计结果。仿真实验结果表明,相对传统稀疏表示算法,具有更低的估计误差和更好的实时性,在实际工程中应用前景广阔。
Though the direction of arrival （DOA） estimation with sparse representation has high resolution, its computational load is too much and is not suitable for real-time processing in practical system. A DOA estimation algorithm with sparse representation based on the property of real signal sources is proposed to settle the problem. First, the corresponding DOA model is constructed and the numbers of available sensors is doubled based on the array data model of real signals. Then, the orthogonal triangular （QR） decomposition is used to improve the estimation performance at low SNR. Finally, the direction estimation was obtained by orthogonal matching pursuit algorithm. The results of simulation experiments show that the proposed algorithm is suitable for real-time processing and has low estimation error. Therefore, there is much application prospect in practical system engineering.
出处
《电子设计工程》
2016年第9期133-135,143,共4页
Electronic Design Engineering
基金
国家自然科学基金(61201089)
关键词
波达方向估计
稀疏表示
正交三角分解
正交匹配追踪
direction of arrival estimation
sparse representation
orthogonal triangular decomposition
orthogonal matching pursuit
