Order-statistic-based subspace detector for range and Doppler distributed target

A detector based on order statistics is derived for adaptive detection of the distributed target in spherically invariant random vector clutter. The distributed target, which is modelled as a subspace random signal, may be distributed both in range and also in Doppler frequency axes. Firstly, the deterministic scatterer model generalized likelihood ratio test based on order statistics (OS-DSM-GLRT) is devised. Then an adaptive detector is obtained by replacing the number of range cells h₀ and the normalized clutter covariance matrix with their estimation, respectively. The performance assessment conducted by Monte Carlo simulation confirms the effectiveness and robustness of the proposed detector.