论文部分内容阅读
提出了一种依赖于频率变化模型的相干信号子空间聚焦处理新方法。相干信号子空间(CSS)宽带处理方法的核心思想是通过聚焦变换将宽带信号各频率分量的信号子空间映射成为一个信号子空间。而依赖于频率变化模型(FDM)的宽带处理方法则是通过引入一组关于频率的基函数,建立阵列信号依赖于频率变化的模型,从而直接进行宽带处理。本文把CSS的聚焦思想应用到FDM,提出了一种宽带目标方位估计方法,并构造了对角聚焦矩阵。新方法采用了FDM,增大了相关矩阵的维数,有效地反映了噪声子空间,因此比CSS具有更好的性能;采用聚焦,大大减小了FDM方法庞大的运算量。计算机仿真结果验证了新方法的有效性。
A new method of focusing processing in coherent signal subspace which is dependent on frequency variation model is proposed. The core idea of the coherent signal subspace (CSS) wideband processing method is to map the signal subspace of each frequency component of the wideband signal into a signal subspace through focus transformation. The broadband processing method that relies on the frequency variation model (FDM) is to directly process the broadband by introducing a set of basis functions about the frequency and establishing the model that the array signal depends on the frequency change. In this paper, the focus of CSS is applied to FDM. A method to estimate the azimuth of broadband target is proposed and the diagonal focus matrix is constructed. The new method uses FDM, which increases the dimension of the correlation matrix and effectively reflects the noise subspace, so it has better performance than CSS. Focusing greatly reduces the computational complexity of FDM. Computer simulation results verify the effectiveness of the new method.