Efficient Augmented ESPRIT-based Direction-of-Arrival Estimation Algorithm for Random Arrays
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摘要: 获得随机阵列的高效、统计无偏波达方向(DoA)估计是超分辨率DoA估计领域的一大挑战。该文基于“利用旋转不变技术扩展估计信号参数法(AESPRIT)” 提出了一种随机阵列DoA估计算法。该算法将AESPRIT改造成闭合环结构，并使用阵列内插技术(AIT)提供的角度粗估计作为初始相位补偿角，从而通过迭代快速获得精确的DoA估计。所提算法直接给出代数形式的估计结果，具有低的计算复杂度；同时由于不存在流形映射或者模式截断误差，估计结果具有统计无偏性。仿真结果验证了所提算法的有效性。
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关键词:
- 阵列信号处理 /
- 波达方向估计 /
- 随机阵列 /
- 利用旋转不变技术扩展估计信号参数法 /
- 阵列内插技术
Abstract: As for super resolution Direction-of-Arrival (DoA) estimation with random arrays, it is still challenged to obtain efficient and statistically unbiased estimates. Based on Augmented Estimation of Signal Parameters via Rotational Invariance Techniques (AESPRIT), an efficient DoA estimation algorithm is proposed for random arrays. AESPRIT is modified with a closed loop structure; Array Interpolation Technique (AIT) is utilized to provide the initial phase compensation angles to the loop. Therefore, the final DoA estimates can be calculated efficiently and accurately through iteration. The proposed algorithm gives algebraic solution directly and has low computational complexity. At the same time, the results are statistically unbiased because no manifold mapping or mode truncation error is introduced. Simulations verify the effectiveness of the proposed algorithm. -
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