Adaptive Subspace Signal Detection in Structured Interference Plus Compound Gaussian Sea Clutter

This paper discusses the problem of detecting subspace signals in structured interference plus compound Gaussian sea clutter with persymmetric structure. The is represented by a process wherein texture obeys inverse distribution. lies known subspace, which independent target signal subspace. By resorting to two-step generalized likelihood ratio test, Rao, and Wald design criteria, three adaptive detectors are proposed. Moreover, constant false-alarm rate property proposed proved. experimental results based on IPIX real data simulated illustrate that outperform their counterparts.