The theoretical output signal-to-noise ratio (SNR) values computed for cross-correlation, least-squares (LS) and various versions of the least mean square (LMS) algorithm have been found to agree with the respective output SNRs exhibited by range profile estimates generated by these algorithms in Matlab when the transmitted noise waveform's spectrum is flat. In this paper, the degree of agreement between simulated and theoretical SNRs will be shown for cross-correlation, LS, and three versions of LMS (conventional, block, and fast block) when the spectrum of the transmitted noise waveform is flat (uncorrelated, white Gaussian noise) and when it is skyline-shaped (correlated Gaussian noise).