ICA-based super resolution pulse compression algorithm incorporated by MUSIC algorithm
Tetsuhiro Okano, Shouhei Kidera, Tetsuo Kirimoto · 2011
Abstract—Pulse compression promises higher range resolu-tion in radar systems while avoiding high instantaneous power transmission. For super-high-resolution estimation of the time of arrival, multiple-signal classification (MUSIC) has been already proposed. However, this method suffers severely from accuracy distortion or low resolution when a number of highly correlated interference signals are mixed in the same range gate. As a solution to this problem, we propose a novel pulse compression algorithm by incorporating independent component analysis, which is a powerful tools for blind signal separation, into MUSIC. Numerical simulation shows that the proposed method achieves higher range resolution and accuracy than conventional MUSIC, particularly for lower signal-to-noise ratios. Key words—Independent component analysis (ICA), multiple-signal classification (MUSIC), radar pulse compression, time of arrival (TOA) estimation. I.