This paper proposes a bank of symbol-level correlators (SLCs) derived in accordance with joint maximum likelihood estimation (JMLE) to test for the presence of individual user equipments (UEs). A fully digital, extended, fractionally spaced, two-dimensional (2D) array of SLCs is addressed to estimate both residual frequency errors (RFEs) and residual time errors (RTEs) simultaneously for multiple active UEs. The proposed technique exploits multi-rate signal processing to decimate (i.e., downsample) the received signal for reducing subsequent computational complexity and to interpolate (i.e., upsample) in the frequency domain to enhance the accuracy of RFE estimation. Coherent accumulation of the squared magnitudes of SLC outputs further improves the signal-to-interference-plus-noise ratio (SINR). The proposed approach offers flexibility and practicality, enabling highly accurate estimation of RFEs and RTEs over extended ranges beyond one subcarrier spacing and beyond one symbol duration, respectively, while achieving precision at the fractional levels of a subcarrier spacing and a symbol duration. Simulation results confirm effectiveness of the proposed technique.