A New Track-Before-Detect Algorithm Based on Track Detection

In order to solve the detection problem in the low signal-to-noise environment, a new track-before-detect (TBD) algorithm based on track detection is proposed. It employed both the track detection and energy integration detection methods. In the case of unknown target motion, the non-coherent integration could be accomplished effectively, which improves the signal to noise ratio and makes the detection performance better. Simulation result shows that whether in target constant motion or uniformly accelerated motion, the new method is more robust compared with other detection methods.