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Space/time/frequency methods in adaptive radar - New Jersey ...

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70where x is the data vector, s is the steer<strong>in</strong>g vector, and R is the covariance matrix.To use the technique with a fixed transform such as the discrete Fouriertransform (from Equation 2.4) or the discrete Cos<strong>in</strong>e transform (Appendix A), theK terms <strong>in</strong> the transform are selected based on the amount of 'energy' associatedwith each <strong>in</strong>dex. This is done by comput<strong>in</strong>g a 2-dimensional stacked transform(Appendix B) ST and calculat<strong>in</strong>g the N termsThe columns of ST terms associated with the largest K results of this calculationsare def<strong>in</strong>ed as T². F<strong>in</strong>ally, the transform matrix T is def<strong>in</strong>ed asThe <strong>in</strong>clusion of s with<strong>in</strong> the transform matrix constra<strong>in</strong>s the system so that3.3 Target CancellationTarget cancellation occurs when the target signal is present dur<strong>in</strong>g tra<strong>in</strong><strong>in</strong>g, when theestimation of the noise covariance matrix occurs and also when there are calibrationerrors. In the case of the steer<strong>in</strong>g vector be<strong>in</strong>g mismatched to the signal vector, thearray cancels the target as it is <strong>in</strong>terpreted as an <strong>in</strong>terference. If the true covariancematrix is know, the signal cancellation may be isolated from the noise covariancematrix estimation effects. This case may be shown to be true when the weightvector is applied to the data it was derived from.The correlation matrix of a N element spatial processor with a s<strong>in</strong>gle <strong>in</strong>terfererand a s<strong>in</strong>gle target is

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