Adaptive early-detection ML-PDA estimator for LO targets with EO sensors

The batch maximum likelihood estimator, combined with the probabilistic data association algorithm (ML-PDA), has. been shown to be effective in acquiring low observable (LO)-low signal-to-noise ratio (SNR)-nonmaneuvering targets in the presence of heavy clutter. The use of signal strength or amplitude information (AI) in the ML-PDA estimator facilitates the acquisition of weak targets. We present an adaptive algorithm, which uses the ML-PDA …