STAP performance in K-distributed clutter

We investigate the impact of heterogeneous clutter on STAP performance. The K-distribution is a good fit for many clutter scenes of interest and will be the main focus of this paper. We introduce a cell-based model that can simulate realistic spikiness of heterogeneous clutter, allowing us to empirically measure the losses in detection performance. In particular, it is shown that, for a fixed false-alarm probability of 10−4, the adaptive matched filter attains a probability of detection of 0.55 in severely heterogeneous clutter, compared to the achievable probability of detection of 0.9 in homogeneous clutter. We subsequently investigate the causes for this deterioration in performance.

[1]  W.L. Melvin,et al.  An approach to knowledge-aided covariance estimation , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Ramon Nitzberg.  Radar Signal Processing and Adaptive Systems , 1999 .

[3]  Peter Swerling,et al.  Probability of detection for fluctuating targets , 1960, IRE Trans. Inf. Theory.

[4]  E. J. Kelly.  An Adaptive Detection Algorithm , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[5]  W.L. Melvin,et al.  Knowledge-aided signal processing: a new paradigm for radar and other advanced sensors , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[6]  Mark A. Richards,et al.  Fundamentals of Radar Signal Processing , 2005 .

[7]  R.C. DiPietro,et al.  Extended factored space-time processing for airborne radar systems , 1992, [1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.

[8]  C. Baker,et al.  Maritime surveillance radar Part 1 : Radar scattering from the ocean surface , 1990 .

[9]  I. Reed,et al.  Rapid Convergence Rate in Adaptive Arrays , 1974, IEEE Transactions on Aerospace and Electronic Systems.