access icon free Polarimetric detection and range estimation for a point-like target in non-Gaussian clutter

© The Institution of Engineering and Technology
Received 04/07/2017, Accepted 01/12/2017, Revised 05/11/2017, Published 05/12/2017

In this study, a method is presented to deal with the problem of polarimetric detection of a point-like target with energy spillover in non-Gaussian clutter. Consecutive range samples are employed to enhance the detection and range estimation performances. Within the framework of the generalised likelihood ratio test, the decision statistic of the proposed polarimetric detector involves the textures and the covariance structure of the clutter, the target return, and the residual delay. Suitable estimates of these parameters are plugged into the decision statistic. Simulations show that, the proposed detector achieves a considerable performance improvement over the polarimetric adaptive detectors that ignore either the non-Gaussian clutter or the spillover, in terms of both the probability of detection and the root mean squared error of range estimation.

Inspec keywords: estimation theory; decision theory; object detection; parameter estimation; covariance analysis; radar polarimetry; mean square error methods; radar clutter; Gaussian processes; statistical distributions; radar detection

Other keywords: root mean squared error; probability; parameter estimation; generalised likelihood ratio test; polarimetric adaptive detection problem; range estimation; covariance structure; decision statistics; point-like target estimation; nonGaussian clutter; polarimetric radar detector; clutter

Subjects: Game theory; Signal detection; Radar equipment, systems and applications; Interpolation and function approximation (numerical analysis)

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