基于压缩感知的宽频段二维DOA估计算法
发布时间：2018-10-09 18:43
【摘要】：针对2维DOA估计问题,该文提出一种基于压缩感知(CS)的宽频段2维DOA估计算法,能够同时得到多个窄带信号的中心频率、方位角和俯仰角。首先利用方位向和俯仰向的空间频率分别建立过完备稀疏字典,然后通过对阵列接收数据的压缩采样得到空间频率的高分辨估计,最后通过空域滤波实现中心频率、方位角和俯仰角之间的匹配。理论分析表明,该算法具有较高的估计精度与分辨力,对信噪比(SNR)要求不高,无需多维搜索过程,且经过压缩采样降低了运算量。仿真结果验证了算法的正确性与有效性。
[Abstract]:To solve the problem of 2-D DOA estimation, a 2-D DOA estimation algorithm based on compressed perceptual (CS) is proposed, which can simultaneously obtain the center frequency, azimuth and pitch angle of multiple narrowband signals. In this paper, the spatial frequency of azimuth and pitch is firstly used to set up an overcomplete sparse dictionary, then the high-resolution estimation of spatial frequency is obtained by the compressed sampling of the data received by the array, and the center frequency is realized by spatial filtering. A match between the azimuth and the pitch. The theoretical analysis shows that the proposed algorithm has high estimation accuracy and resolution, does not require high SNR (SNR), does not require multidimensional search process, and reduces the computational complexity through compressed sampling. Simulation results show that the algorithm is correct and effective.
【作者单位】： 西安电子科技大学电子信息攻防对抗与仿真技术教育部重点实验室;
【基金】：国家部级基金 中央高校基本科研业务费专项(JB140203) 国家973计划项目(613181)资助课题
【分类号】：TN911.23
[Abstract]:To solve the problem of 2-D DOA estimation, a 2-D DOA estimation algorithm based on compressed perceptual (CS) is proposed, which can simultaneously obtain the center frequency, azimuth and pitch angle of multiple narrowband signals. In this paper, the spatial frequency of azimuth and pitch is firstly used to set up an overcomplete sparse dictionary, then the high-resolution estimation of spatial frequency is obtained by the compressed sampling of the data received by the array, and the center frequency is realized by spatial filtering. A match between the azimuth and the pitch. The theoretical analysis shows that the proposed algorithm has high estimation accuracy and resolution, does not require high SNR (SNR), does not require multidimensional search process, and reduces the computational complexity through compressed sampling. Simulation results show that the algorithm is correct and effective.
【作者单位】： 西安电子科技大学电子信息攻防对抗与仿真技术教育部重点实验室;
【基金】：国家部级基金 中央高校基本科研业务费专项(JB140203) 国家973计划项目(613181)资助课题
【分类号】：TN911.23
【参考文献】
相关期刊论文 前10条
1 刘楠;张娟;张林让;申东;;一种适用于MIMO雷达的低复杂度二维DOA估计方法[J];电子学报;2012年03期
2 李鹏飞;张e，
本文编号：2260381
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