基于单快拍数据的嵌套阵列DOA估计算法

Nested Array DOA Estimation Using Snapshot

针对嵌套阵列DOA估计实时性不好的问题,提出了一种基于单快拍数据的估计算法。该算法将嵌套阵分为阵元间距等于信号半波长和阵元间距大于信号半波长的两个均匀子阵。利用两子阵接收的单快拍数据分别构造Toeplitz矩阵,然后进行特征值分解结合MUSIC算法得到低精度无模糊的DOA估计和高精度有模糊的DOA估计,最后结合解模糊算法得到高精度无模糊DOA估计。在阵列孔径相同的条件下,相比于阵元间距等于信号半波长的均匀线阵,算法需要的阵元个数较少,节约了硬件成本。该算法具有较好的实时性,并且拥有较高的测向精度。仿真结果证明了算法的有效性。

Aiming at the DOA estimation poor real-time performance problem of nested array,an estimation algorithm based on single snapshot data is proposed. The algorithm divides the nested array into two uniform subarrays whose array spacing is equal to the signal half-wavelength and the array pitch is greater than the signal half-wavelength. The Toeplitz matrices are constructed by using the single-shot data received by the two subarrays,and then the eigenvalue decomposition combined with the MUSIC algorithm is used to obtain the low-accuracy unambiguous DOA estimation and the highprecision ambiguity DOA estimation. Finally,the solution ambiguity algorithm is used to obtain high precision DOA estimation. The algorithm improves the array aperture,has good real-time performance,and has high direction finding accuracy. The simulation results show the effectiveness of the algorithm.