基于稀疏重构角度配对的二维DOA快速估计算法

Two-Dimensional DOA Estimation Algorithm Based on Angle Pair Matching by Sparse Reconstruction

针对传统二维到达角度估计计算量大的问题,提出了一种基于稀疏重构角度配对的二维波达方向估计(Direction of Arrival,DOA)快速估计算法,能够同时估计多个信号的俯仰角和方位角。该算法以L型阵列为例,首先对信号的二维空间角分别进行独立估计,然后基于空间角所有的配对组合构建冗余字典,并利用稀疏重构实现空间角的角度配对,最后由正确配对的空间角计算出信号的DOA。该算法避免了二维搜索过程,提高了角度计算效率,且具有较高的估计精度。仿真结果验证了算法的正确性与有效性。

For the problem of large computation of traditional two-dimensional direction of arrival(DOA)estimation,a fast two-dimensional DOA estimation algorithm based on angle pair matching by sparse reconstruction is proposed.The pitch and azimuth angle of multiple signals is estimated simultaneously.The L-shaped array is used as an example in the proposed method.First,two-dimensional spatial angle is estimated independently.Then spatial angle pair matching is achieved by sparse reconstruction in redundant dictionary based on all angle pairing combinations.Finally,the DOA of signal is computed from the correctly paired spatial angle.Without two-dimensional search process,the efficiency of angle computation is improved and the precision of angle estimation is high.The simulation results verify the effectiveness and correctness.