| 摘要: |
| 针对传统子空间算法需要进行特征值分解或奇异值分解等复杂计算的问题，提出一种双平行线阵（Double Parallel Linear Array,DPLA）的快速一维波达方向（Direction of Arrival，DOA）估计算法。算法通过处理互协方差矩阵的第一列元素构造出等效的噪声子空间，再通过求根MUSIC（Multiple Signal Classification）算法得到DOA估计，有效避开了特征值分解或奇异值分解，降低了计算复杂度，提高了运算速度。仿真结果表明，该算法在提高了估计精度的同时减少了估计时间。 |
| 关键词: 双平行线阵 DOA估计 互协方差矩阵 求根MUSIC |
| DOI： |
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| 基金项目:国家自然科学基金资助项目(61661030) |
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| Fast One-dimensional DOA Estimation for Double Parallel Linear Arrays |
| WANG Zhiqiang,YU Guicai,AI Ming,LI Dan |
| (School of Information Engineering,Nanchang University,Nanchang 330031,China;1.School of Information Engineering,Nanchang University,Nanchang 330031,China;2.Physical Science and Engineering Technology College,Yichun University,Yichun 336000,China) |
| Abstract: |
| In order to solve the computational complexity problems such as eigenvalue decomposition or singular value decomposition in traditional subspace algorithms,a fast one-dimensional direction of arrival(DOA) estimation algorithm for double parallel linear arrays(DPLA) is proposed.The algorithm constructs the equivalent noise subspace by processing the first column elements of the cross-covariance matrix,and obtains DOA estimation by root multiple signal classification(MUSIC) algorithm.It avoids eigenvalue decomposition or singular value decomposition effectively,reduces the computational complexity and improves the computational speed.The simulation results show that the algorithm improves the estimation accuracy and reduces the estimation time. |
| Key words: double parallel linear array DOA estimation cross-covariance matrix root MUSIC |
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