Signal Detection in Correlated Gaussian and Non-Gaussian Radar Clutter

摘要

The subject of this report is the detection of weak targets in a strong clutterenvironment. Two situations arise depending on whether or not the weak targets can be separated from the clutter. For both cases new receivers are derived which provide significant improvement in performance over other recently proposed techniques. This work includes development of an adaptive joint-domain space-time processor, effective non-gaussian weak signal detectors based on spherically invariant random processes, and a new method for approximating the underlying probability density function of random data which works extremely well with only 100 samples. Locally optimum detector, Spherically invariant, Random processes, Probability density function, Weak signal detector, Radar, Space-time processing, Clutter, Non-gaussian.