高级检索+

基于迂回式匹配追踪算法的DOA估计方法

DOA Estimation Method Based on Detouring Matching Pursuit Algorithm

  • 摘要: 针对传统波达方向(Direction of arrival, DOA)估计算法在小快拍数、低信噪比以及信源信号相干等条件下估计精度低等问题,提出一种基于迂回式匹配追踪算法的DOA估计方法.通过对空间按照潜在的入射角等角度进行划分,构造超完备冗余字典,采用迂回式匹配追踪算法对稀疏信号进行重构,得到信号中的非零元素按位置编号转化成对应的方向角度,即正确的DOA估计值.仿真结果表明:基于迂回式匹配追踪算法的DOA估计算法在单快拍情况下仍能得到有效估计值,在强噪声环境中也具有较好的稳健性.

     

    Abstract: Aiming at the problem that the traditional direction of arrival(DOA) algorithm had low estimation accuracy under the conditions of small snapshot number, low signal-to-noise ratio(SNR) and coherence signals, a DOA estimation based on detour matching pursuit algorithm was proposed. The space was divided into equal angles, and the super-complete redundant dictionary was built. The sparse signals were reconstructed by the detouring matching pursuit algorithm, and the non-zero elements in the reconstructed signals were converted into the corresponding direction angles according to its position numbers, that was the correct DOA estimation. The simulation results show that the DOA estimation algorithm based on detouring matching pursuit algorithm can still get effective estimation value and has good robustness under the conditions of single snapshot and strong noise.

     

/

返回文章
返回