Abstract:
This letter discusses the estimation performance of different elevation angles in circular arrays. The one-dimensional resolution formula of the uniform circular array (U...Show MoreMetadata
Abstract:
This letter discusses the estimation performance of different elevation angles in circular arrays. The one-dimensional resolution formula of the uniform circular array (UCA) shows that it has consistent estimation accuracy in the azimuth range. Based on this, we extend the resolution formula to two di-mensions. The formula shows that the resolution varies with the elevation angle. By analyzing the array manifold matrix of circular arrays in the two-dimensional (2-D) direction of arrival estimation, a compensation method is proposed to solve the inconsistency of elevation estimation accuracy. Then, a low-complexity algorithm based on compressed sampling matching pursuit (CoSaMP) is improved to verify the correctness of the proposed method. The simulation results are consistent with the theoretical results. And, the algorithm comparison results show that the proposed method can effectively improve the estimation accuracy of elevation when the signal source is close to the array plane.
Published in: 2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)
Date of Conference: 14-17 November 2023
Date Added to IEEE Xplore: 29 January 2024
ISBN Information: