Davey, S.2013-03-212013-03-212012IEEE Transactions on Signal Processing, 2012; 60(3):1539-15401053-587X1941-0476http://hdl.handle.net/2440/76129The above article [1] introduced an algorithm for multitarget track-before-detect based on a multi-Bernoulli random finite set model (MB-TBD). This new algorithm was compared with the Histogram Probabilistic Multi-Hypothesis Tracker (H-PMHT) on simulated data examples containing multiple targets with non-linear dynamics. The authors reported poor performance from H-PMHT and described several deficiencies of the algorithm. This note highlights unnecessary assumptions made in the assessment of H-PMHT and repeats two of the simulation examples after relaxing them. We demonstrate a substantial improvement in performance compared with the originally published results. The simulation example is also shown to be a relatively high signal to noise problem and good performance is obtained from a conventional detect-then-track algorithm.en© 2011 British Crown Copyright, © 2011 IEEEJournal article002011672710.1109/TSP.2011.21736790003004245000542-s2.0-8485720970625815