A Low Complexity Maximum Likelihood Algorithm for Targets DOA Tracking
This work presents a low complexity bootstrapping filter for target direction-of-arrival tracking in array signal processing, and derives a Monte Carlo maximum likelihood method. Similar to bootstrapping, our new algorithm bypasses the resampling step and directly generates the maximum-likelihood estimates. This simpler target tracking method is compared against the original bootstrapping and the traditional extended Kalman filter. The performance comparison shows no performance loss for our simplified method