空间稀疏角域以及多普勒域下的DOA估计

提出可在稀疏角域以及多普勒域下对天线阵列信号向量进行接收和分析的方法,讨论在多普勒频域范围内的DOA估计问题,并在有效的频带范围内提取信号冲激响应较大的值. 在稀疏DOA的恢复过程中采用的是L2,0估计算法,并在多路天线频谱感知的架构下充分利用DOA所固有的稀疏特性,对其进行稀疏恢复. 对于在测试环境中不可避免的噪声问题,分析三种不同噪声分布下的DOA估计误差问题. 仿真结果显示频域范围内的L2,0-DOA估计算法具有较低的计算复杂度和较高的准确度,并且算法对噪声不敏感,鲁棒性较高.

Direction-of-arrival estimation under spatial sparse angular and Doppler domains

The method of receiving the antenna array vector was proposed under the sparse angle domain and Doppler domain. The direction-of-arrival ( DOA) estimation problem in the Doppler frequency domain was discussed to extract the relatively large im-pulse response at the band's effective range. The L2,0 estimation algorithm was used in the recovery process of DOA estimation, which took full advantage of the inherent sparse characteristics of DOA under the architecture of multi-antenna spectrum sensing. As for the unavoidable noise problem in the testing environment, the mean square error of DOA estimation was also analyzed for different noise distributions. Simulation results show that the computational complexity of the L2,0-DOA estimation algorithm in the frequency domain is low and the accuracy is high. Besides, the proposed method is not sensitive to noise and has high robustness.