A model-based track-before-detect strategy

This paper addresses adaptive detection and tracking of a point-like target in thermal noise plus clutter which is assumed to be heterogeneous from one range cell to another. To this end, a track-before-detect scheme is derived and assessed; its design relies on autoregressive modeling of noise returns. A preliminary performance assessment, based upon Monte Carlo simulation, shows that it can outperform previously proposed TBD strategies.