A new polarization-space-time joint domain processing (PST-JDP) method is proposed

because it is difficult to suppress clutter and to detect slowly moving target in airborne radar.The method uses adequately the three-domain information which includes the polarization

space and Doppler frequency information of radar echo.It is shown that polarization information together with space and Doppler frequency information can be used effectively to significantly enhance the performance of clutter suppression in airborne radar.Signal model and adaptive algorithm model are established.Some new techniques

(i.e.

covariance matrix eigendecomposition

spectral analysis and resolution grid method)

are utilized for deriving the performance of PST-JDP.The main factors which affect on the performance of clutter rejection are the spatial

Doppler and polarized matching coefficient

and slope of clutter ridge

signal-to-noise ratio (SNR)

input clutter-to-noise ratio (CNR).The new PST-JDP method performed significantly better than the traditional optimum space-time processing technology

especially in the case of the target slowly moving.Simulations demonstrate the correctness of models.