一种基于稀疏表示的DOA估计新方法

提出了一种基于空间频率稀疏表示的宽带波达方向DOA估计方法。首先利用空间频率构建过完备字典,以代替传统的频率和角度的二维字典,大大缩小了字典长度。然后对接收到的数据进行傅里叶变换,建立稀疏模型进行DOA估计,提高了算法在低信噪比下的性能。经验证,该算法可对宽带范围内的多个窄带信号及宽带信号进行高精度DOA估计,且适用于非相干信号和相干信号。

A new method for DOA estimation based on sparse representations

A wide-band DOA estimation method based on space frequency sparse representation is proposed. Firstly, the over-complete dictionary by using space frequency is constructed to replace the traditional 2-D dictionary using frequency and azimuth. It reduces the length of dictionary. Secondly,the received signals of frequency covariance are used to construct sparse DOA estimation model to improve the performance in low SNR. The theory analysis and experiment results indicate that the proposed method is correct and effective to estimate the frequency and DOA of many narrow-band signals and wide-band signals with wide-band receiver. It can be used for coherent and incoherent signals.