基于扩维的多通道联合频率和到达角估计
doi: 10.3724/SP.J.1146.2013.00472
Multichannel Joint Frequency and DOA Estimation Based on Expanded Dimension
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摘要: 针对宽频段信号的时空欠采样问题,该文提出基于扩维的多通道联合频率和到达角估计方法。在时间和空间均欠采样的情况下,该方法实现了频率和到达角的2维无模糊估计。通过构造空时2维无模糊阵列结构,将多个采样通道联合扩维,解决了时间欠采样问题;将多个快拍通道联合扩维,克服了空间欠采样问题。同时,为了降低运算量,利用时域滤波技术,将频率和到达角估计进行时空级联,得到了自动配对的频率和到达角无模糊估计值,且避免了高维特征值分解和2维谱峰搜索,减少了运算量。仿真结果验证了该方法的有效性。Abstract: A method of multichannel joint frequency and Direction Of Arrival (DOA) estimation is proposed for the signal with wide frequency band. Under the condition of sub-Nyquist spatio-temporal sampling, the method can provide unambiguous frequency and DOA estimation. According to the space-time two-dimension unambiguous array presented in the paper, the expanded dimension of multiple sampling channels solves the issue of temporal undersampling, and the expanded dimension of multiple snapshot channels overcomes the issue of spatial undersampling. Using the temporal filtering, the estimated frequency and DOA are cascaded, and the pairing of the estimated frequency and DOA is automatically determined. In addition, the spatio-temporal cascaded method can avoid the 2-D spectral peak searching and high-dimensional eigenvalue decomposition, which reduces the computational complexity. Simulation results demonstrate the effectiveness of the novel method.
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