A New Subspace Signal Detection Scheme Based on Multi-channel Order Statistics

The detection problem of a subspace signal with unknown target doppler components is discussed in this work. Compound Gaussian clutter with inverse Gaussian texture (CGIG) is used for clutter modeling. A Doppler frequency components number dependent order statistics (DND-OS) method is proposed according to the rank-1 optimal detector and order statistics. The method described in this paper avoids the estimation of the target steering matrix in a short coherent processing interval (CPI). Experimental results conducted by simulated and measured data highlight that the proposed detector can detect subspace signal in CGIG clutter efficiently.