基于OMP算法的极化敏感阵列多参数估计

发布时间：2018-05-17 13:36

本文选题：极化敏感阵列 + 压缩感知　；参考：《雷达科学与技术》2016年05期

【摘要】：基于压缩感知的DOA估计方法在小快拍数下性能优越,并且具有天然的解相干能力,但在极化敏感阵列中运用很少。基于极化敏感阵列研究一种改进的OMP算法,能够成功估计出空域和极化域参数。该算法首先将极化敏感阵列信号接收矩阵重新建模,随后采用所提的改进OMP算法得到空域到达角估计结果。然后将求解出来的空域到达角代入到根据模值约束条件构造出来的代价函数中,通过闭合式解得到极化参数估计,从而实现了自动配对的空域和极化域的参数估计。仿真结果表明,该方法无论信号相干与否都能够得到良好的估计结果,并且在非相干情况下,估计性能总体优于极化ESPRIT算法及模值约束MUSIC算法。
[Abstract]:The DOA estimation method based on compressed sensing has excellent performance under the condition of small beat number and has natural decoherence ability. However, it is seldom used in polarization-sensitive arrays. An improved OMP algorithm based on polarization-sensitive array is proposed, which can successfully estimate the spatial and polarimetric parameters. Firstly, the polarization-sensitive array signal reception matrix is remodeled, and then the proposed improved OMP algorithm is used to obtain the estimation results of the spatial angle of arrival. Then the calculated spatial arrival angle is substituted into the cost function constructed according to the modular constraint condition, and the polarization parameter estimation is obtained by the closed solution, thus realizing the parameter estimation in the spatial domain and the polarization domain of the automatic pairing. Simulation results show that the proposed method can obtain good estimation results regardless of whether the signal is coherent or not, and the estimation performance is superior to that of polarization ESPRIT algorithm and modulus constrained MUSIC algorithm in the case of non-coherence.
【作者单位】：电子科技大学电子工程学院;
【基金】：国家自然科学基金(No.61371184,61301262)
【分类号】：TN911.7

【相似文献】