Adaptive polarimetric target detection with coherent radar
- Resource Type
- Conference
- Authors
- Pastina, D.; Lombardo, P.; Pedicini, V.; Bucciarelli, T.
- Source
- Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037] Radar Radar Conference, 2000. The Record of the IEEE 2000 International. :93-97 2000
- Subject
- Fields, Waves and Electromagnetics
Aerospace
Components, Circuits, Devices and Systems
Object detection
Radar polarimetry
Clutter
Detectors
Polarization
Testing
Covariance matrix
Radar detection
Vectors
Frequency
- Language
A CFAR adaptive polarimetric generalized likelihood ratio test (GLRT) detector is proposed for the coherent detection of radar targets against a Gaussian background and its performance is fully characterized. A model based version of such a detector is also derived by applying a similar GLRT approach to a structured covariance matrix. This latter detector is shown to reduce the adaptivity losses and thus to reduce the homogeneous region, which is required to estimate the clutter covariance matrix. The application to live radar data demonstrates the performance improvement achievable in practice by exploiting the polarimetric information. In particular adding the HV channel to the two co-polarized channels can provide a sensible performance increase with respect to the HH and VV only. This is especially true for man-made targets having cross-polarized response higher than the clutter. When the target has a lower cross-polarized return than the clutter, a much lower improvement is available but there is not a sensible adaptivity loss and the CFAR characteristic is always enforced against the Gaussian background.