中文摘要：

现有的MUSIC、ESPRIT等基于特征值分解算法,在信号DOA估计时运算复杂度较高,不利于硬件实现,而经典空间FFT算法虽然运算速度快,但在天线数不甚多时,其较大的离散角度间隔限制了DOA估计精度。为此,提出了一种基于空间谱插值的DOA估计算法。该方法在经典空间FFT算法的基础上,对量化空间谱进行线性插值,只增加1次除法运算,不改变原有算法结构,利于硬件实现。当信噪比大于9dB时,其均方根误差接近克拉美-罗限（CRLB）。仿真实验证明了算法的精确度和有效性。

英文摘要：

Classical eigenvalue decomposition based signal DOA estimation method like MUSIC,ESPRIT are computation complex.These DOA estimation methods are not suit for hardware implementation.The conventional spatial FFT algorithm is faster,but the larger discrete angle interval restrict DOA estimate precision when the antenna number is not so many.Therefore,a novel DOA estimation method based on spatial spectrum interpolation is proposed.This method is based on the classical spatial FFT algorithm.Linear interpolation on the two maximum quantization spatial spectrums is used.Compared with the original algorithm,this method only adds a division operation.And,the algorithm structure is not modified.Thus,it is convenient for hardware implementation.When SNR exceed 9dB,the DOA estimation root mean-square error approach Cramer-Rao Low Bound（CRLB）.Accuracy and effectiveness of this DOA estimation method are verified by abundant simulation results.