Fig. 6
From: Exploiting joint sparsity in compressed sensing-based RFID
Support estimation (variable sequence length). Plotted are the number of correct detections (CD) and false alarms (FA) in the estimated set of assigned signatures \(\widehat {\mathcal {T}}_{\mathrm {A}}\) over variable M in the noiseless case. A similar behavior to Fig. 5 is observed. For an increased number of jointly sparse vectors N B , fewer measurements are required to achieve the same number of CD. The light grey curves show the legacy approach used in [12–14]