Signal parameter estimation like direction of arrival (DOA), polarization and Doppler frequency for conformal arrays with a reasonable computational effort is cumbersome, because conformal arrays have complex steering vectors without Vandermonde structure but involves distinct antenna patterns. To this end, we propose a fast estimation algorithm which enjoys computational benefit stemming from processing in fractal dimension and the Hough transform. Firstly, we obtain rough DOA estimations via the Hough transform using the covariance matrix phases, on the basis of a devised systematic scheme of ambiguity resolving. Subsequently, polarization is obtained through a rank reduced problem with DOA substituted. Precision improves by iteration and alternative optimization between DOA and polarization. Thirdly, we calculate the Doppler frequency with the temporal covariance matrix. Simulations validate that the proposed algorithm outperforms existing algorithms for slightly lower computation complexity and sufficient precision.

保形阵列的信号参数估计，如到达方向（DOA），极化和多普勒频率，需要进行合理的计算工作，因此很麻烦，因为保形阵列具有复杂的导引矢量而没有范德蒙德结构，但是涉及不同的天线方向图。为此，我们提出了一种快速估计算法，该算法具有分形维和霍夫变换的处理能力，具有计算上的优势。首先，在设计的模糊度解决系统方案的基础上，我们使用协方差矩阵相位通过Hough变换获得了粗糙的DOA估计。随后，通过替换DOA的秩降低问题获得极化。通过迭代和DOA与极化之间的替代优化来提高精度。第三，我们用时间协方差矩阵计算多普勒频率。仿真结果表明，所提出的算法在计算复杂度和精确度方面略胜于现有算法。