Target Detection Using Nonsingular Approximations for a Singular Covariance Matrix

Figure 6

When starting from PCA subspace, we will start from a closer point to the maximum so we need fewer rotations; the delta in 𝑘 between the original location to the current one is the rotations done by transforming to the PCA subspace.