基于稀疏阵列的多带信号频率和到达角联合估计

Joint frequency and DOA estimation for multiple sources using co-prime array

随着工作频段的不断拓展,传统的基于空时Nyquist采样的多目标源频率和到达角联合估计方法受到阵列孔径和采样速率的约束,提高估计精度往往伴随着较高的硬件成本。为此,基于互质阵列设计了一种十字型空时欠采样接收结构,并结合噪声空间重构、信源相关性配对,提出了一种具备闭式解的频率和到达角的无模糊估计方法。得益于稀疏阵列可有效拓展阵列孔径,所提方法相比基于传统均匀线阵的方法,在相同的硬件资源和较低信噪比条件下即可取得明显的估计精度提升效果。

As the work frequency band gradually increases,the traditional joint estimation methods of carrier frequency and direction of arrival(DOA)of multi-band signal based on spatial-temporal Nyquist sampling are re‑stricted by array aperture and sampling rate.Therefore,a cross-shaped spatial-temporal sub-sampling receiver based on co-prime array is proposed.Further,an analytical method is developed via combining noise subspace construction and correlation based source pairing.Owning to that the sparse array can effectively expand the array aperture,the proposed method achieves obvious performance improvement under the equal hardware resources and signal-to-noise(SNR)conditions compared with the traditional method based on uniform linear array(ULA).