基于ICA的均匀线阵源个数与信号波形联合估计

Joint Estimation of Order and Waveform of Source Signals with Uniform Linear Array Based on ICA

源个数估计与波形恢复是信号处理中两个非常重要的内容。文章针对均匀线阵（ULA）提出了一种基于独立分量分析（ICA）的源个数与波形联合估计方法。该方法充分利用了源信号间的独立性以及阵列响应矩阵特殊结构来进行源个数与波形联合估计，不仅能够估计源信号个数，而且能够恢复源信号的时域波形。另外，该方法对空间非均匀噪声及源个数与阵元数相等的情形有很好的适应性。仿真实验证明了该方法的有效性。

The estimation of order and waveform of source signals are very important parts of the signal processing. In this paper, a joint estimation method for the order and envelope of source signals with uniform linear array （ULA） based on independent component analysis （ICA） is proposed. The method makes full use of the independence of signals and the special structure of the steering matrix. It can estimate the order as well as the envelope of source signals. In addition, the method can adapt to the eases of spatially non-uniform noise or the equality of the number of the source signals and sensors. Simulation results demonstrate the efficiency ,of the proposed method.