基于聚焦算法宽带信号测向研究

DOA Estimation of Wideband Signal Based on Focusing Matrix

针对常规相干子空间算法对低信噪比、紧相邻的宽带信号DOA估计性能较差的问题,提出将宽带信号目标带宽分成多个不重叠的子频带,构造酉对角聚焦矩阵,将各频率点下的阵列流矩阵变换到同个频率点,再重构协方差矩阵并对其特征值分解来改进MUSIC算法,估计宽带信号的来波方位.仿真结果表明,该方法能有效地对低信噪比、紧相邻的相干宽带信号进行DOA估计,且计算量小.

Aiming at the poor performance of conventional coherent subspace algorithm for DOA estimation of low SNR and close adjacent wideband signals,a new method is proposed to improve music algorithm by dividing wideband signal target bandwidth into multiple non overlapping subbands,constructing unitary diagonal focusing matrix,transforming array flow matrix at each frequency point to the same frequency point,reconstructing covariance matrix and decomposing its eigenvalue.The DOA estimation of wideband signals shows that this method can effectively estimate the DOA of coherent wideband signals with low signal-to-noise ratio and close proximity,and the computational complexity is small.